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["Professional Certificates for Enterprise"]
["2020-03-03"]
[]
[]
[]
["Business Reason"]
["Gain the in-demand skills you need to break into a new career field like information technology or data science. No prior experience is required to get started."]
[]
["Summary"]
["Professional Certificate","Partner","# of Courses"]
["(ISC)² Systems Security Certified Practitioner (SSCP)","(ISC)²",{"$f":"countif(Courses!A:A,A11)","v":6}]
["Arizona State University TESOL","Arizona State University",{"$f":"countif(Courses!A:A,A12)","v":13}]
["TESOL Certificate, Part 1: Teach English Now!","Arizona State University",{"$f":"countif(Courses!A:A,A13)","v":5}]
["TESOL Certificate, Part 2: Teach English Now!","Arizona State University",{"$f":"countif(Courses!A:A,A14)","v":8}]
["Google IT Automation with Python","Google",{"$f":"countif(Courses!A:A,A15)","v":6}]
["Google IT Support","Google",{"$f":"countif(Courses!A:A,A16)","v":5}]
["Cloud Architecture with Google Cloud","Google Cloud",{"$f":"countif(Courses!A:A,A17)","v":6}]
["Cloud Engineering with Google Cloud","Google Cloud",{"$f":"countif(Courses!A:A,A18)","v":5}]
["Data Engineering with Google Cloud","Google Cloud",{"$f":"countif(Courses!A:A,A19)","v":6}]
["IBM AI Engineering","IBM",{"$f":"countif(Courses!A:A,A20)","v":7}]
["IBM Applied AI","IBM",{"$f":"countif(Courses!A:A,A21)","v":7}]
["IBM Data Science","IBM",{"$f":"countif(Courses!A:A,A22)","v":15}]
["IBM z/OS Mainframe Practitioner","IBM",{"$f":"countif(Courses!A:A,A23)","v":3}]
["IBM Customer Engagement Specialist Professional Certificate","IBM",{"$f":"countif(Courses!A:A,A24)","v":0}]
["SAS Programmer","SAS",{"$f":"countif(Courses!A:A,A25)","v":3}]
["SAS Visual Business Analytics","SAS",{"$f":"countif(Courses!A:A,A26)","v":5}]

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["Specialization","Specialization Course Order","Course Name","University Name","Skills Learned","Difficulty Level","Workload - Average Total Hours","Course URL","Course Description","Course Rating","Specialization URL","Specialization Description","Workload - Hours Range","Subtitle Language","Course Language","Domain","Sub-Domain","Course ID"]
["(ISC)² Systems Security Certified Practitioner (SSCP)",1.0,"Access Controls","(ISC)²","list-and-label; authorization; multi-factor-authentication; access-control; authentication; null-character; identity-management; access-control-list; computer-security; biometrics","INTERMEDIATE",15.8,"https://www.coursera.org/learn/access-control-sscp","Welcome to Access Controls!\\n\\nThe Access Controls Course provides information pertaining to specify what users are permitted to do, the resources they are allowed to access, and what operations they are able to perform on a system. Access Controls help managers limit and monitor systems use at a user level or group membership. You will understand the different access control systems and how they should be implemented to protect the system and data using the different levels of confidentiality, integrity, and availability.\\n\\nThe Access Controls course provides information pertaining to specifying what users are permitted to do, the resources they are allowed to access, and what operations they are able to perform on a system. Access Controls help managers limit and monitor systems use at a user level, and is usually predefined based on authority level or group membership. You will understand the different access control systems and how they should be implemented to protect the system and data using the different levels of confidentiality, integrity, and availability.\\n\\n  Objectives\\n1. Describe how to implement Authentication mechanisms\\n2. Identify and operate internetwork trust architectures\\n3. Describe the process of administering identity management life cycle\\n4. Implement the different types of access controls (Subject/Object based)",4.37,"https://www.coursera.org/specializations/sscp-training","Pursue better IT security job opportunities and prove knowledge with confidence. The SSCP Professional Training Certificate shows employers you have the IT security foundation to defend against cyber attacks – and puts you on a clear path to earning SSCP certification.\\n\\nLearn on your own schedule with 120-day access to content aligned with the latest (ISC)2 SSCP exam domains. We’re offering the complete online self-paced program for only $1,000 – a $200 savings when you get all domains bundled together.\\n\\n3 Steps to Career Advancement\\n\\n1. Register for the course\\n\\n2. Gain access for 120 days\\n\\n3. Register and sit for the SSCP certification exam\\n\\nUpon completing the SSCP Professional Certificate, you will:\\n\\n1. Complete six courses of preparing you to sit for the Systems Security Certified Practitioner (SSCP) certification exam as outlined below.\\n\\nCourse 1 - Access Controls\\n\\nCourse 2 - Security Operations and Administration\\n\\nCourse 3 - Risk Identification, Monitoring, and Analysis/Incident Response and Recovery\\n\\nCourse 4 - Cryptography\\n\\nCourse 5 - Network and Communication Security\\n\\nCourse 6 - Systems and Application Security\\n\\n2. Receive a certificate of program completion.\\n\\n3. Understand how to implement, monitor and administer an organization’s IT infrastructure in accordance with security policies and procedures that ensure data confidentiality, integrity and availability.","[6.3,24.6]","NA","English","information-technology","security","Lmmy3KkxEeeDkArsR_C2QA"]
["(ISC)² Systems Security Certified Practitioner (SSCP)",2.0,"Security Operations and Administration","(ISC)²","confidentiality; access-control; software-engineering; database; key-cryptography; hacker; uninterruptible-power-supply; null-character; security-awareness; physical-security","INTERMEDIATE",14.3,"https://www.coursera.org/learn/security-operations-administration-sscp","Security operations and administration is the task of identifying an organization's information assets and the documentation needed for policy implementation, standards, procedures, and guidelines to ensure confidentiality, integrity, and availability. You will understand the process necessary for working with management and information owners, custodians, and users so that proper data classifications are defined. This will ensure the proper handling of all hard copy and electronic information.\\n      The Security operations and Administration course addresses basic security concepts and the application of those concepts in the day to day operation and administration of enterprise computer systems and the information that they host.Ethical considerations in general, and the (ISC)2 Code of Ethics in particular, provide the backdrop for any discussion of information security and SSCP candidates will be tested on both. Information security professionals often find themselves in positions of trust and must be beyond reproach in every way.Several core principles of information security stand above all others and this domain covers these principles in some depth. It can be said that the CIA triad of confidentiality, integrity and availability forms the basis for almost everything that we do in information security and the SSCP candidate must not only fully understand these principles but be able to apply them in all situations. additional security concepts covered in this domain include privacy, least privilege, non-repudiation and the separation of duties.\\n  \\n Course Objectives\\n\\n1. Define Code of Ethics\\n2. Describe the security concepts\\n3. Document and operate security controls\\n4. Describe the asset management process\\n5. Implement compliance controls\\n6. Assess compliance controls\\n7. Describe the change management process\\n8. Contribute to the security awareness training program\\n9. Contribute to physical security operations",4.67,"https://www.coursera.org/specializations/sscp-training","Pursue better IT security job opportunities and prove knowledge with confidence. The SSCP Professional Training Certificate shows employers you have the IT security foundation to defend against cyber attacks – and puts you on a clear path to earning SSCP certification.\\n\\nLearn on your own schedule with 120-day access to content aligned with the latest (ISC)2 SSCP exam domains. We’re offering the complete online self-paced program for only $1,000 – a $200 savings when you get all domains bundled together.\\n\\n3 Steps to Career Advancement\\n\\n1. Register for the course\\n\\n2. Gain access for 120 days\\n\\n3. Register and sit for the SSCP certification exam\\n\\nUpon completing the SSCP Professional Certificate, you will:\\n\\n1. Complete six courses of preparing you to sit for the Systems Security Certified Practitioner (SSCP) certification exam as outlined below.\\n\\nCourse 1 - Access Controls\\n\\nCourse 2 - Security Operations and Administration\\n\\nCourse 3 - Risk Identification, Monitoring, and Analysis/Incident Response and Recovery\\n\\nCourse 4 - Cryptography\\n\\nCourse 5 - Network and Communication Security\\n\\nCourse 6 - Systems and Application Security\\n\\n2. Receive a certificate of program completion.\\n\\n3. Understand how to implement, monitor and administer an organization’s IT infrastructure in accordance with security policies and procedures that ensure data confidentiality, integrity and availability.","[5.6,20.2]","NA","English","information-technology","security","9oHB96qUEeee9w5X_IxkFA"]
["(ISC)² Systems Security Certified Practitioner (SSCP)",3.0,"Identifying, Monitoring, and Analyzing Risk and Incident Response and Recovery","(ISC)²","command-line-interface; computer-security-incident-management; cryptography; principle-of-least-privilege; tree-traversal; incident-response-team; domain-name-system; risk-assessment; computer-security; incident-management","ADVANCED",19.7,"https://www.coursera.org/learn/incident-response-recovery-risks-sscp","Risk Identification, Monitoring, and Analysis: In the Risk Identification, Monitoring, and Analysis session, you will learn how to identify, measure, and control losses associated with adverse events. You will review, analyze, select, and evaluate safeguards for mitigating risk.You will learn processes for collecting information, providing methods of identifying security events, assigning priority levels, taking the appropriate actions, and reporting the findings to the correct individuals. After collection of the details from monitoring, we can analyze to determine if the system is being operated in accordance with accepted industry practices, and in compliance with organization policies and procedures.        \\n Incident Response and Recovery: In the Incident Response and Recovery Session, you will gain an understanding of how to handle incidents using consistent, applied approaches in order to resolve. Once an incident is identified, action will be necessary in order to resolve. We will examine processes such as damage recovery, data integrity and preservation, and the collection, handling, reporting, and prevention. You will be introduced to the Business Continuity Plan (BCP) and Disaster Recovery Plan (DRP) concepts and how they can be utilized in order to mitigate damages, recover business operations, and avoid critical business interruption. Through the use of the DRP, you will understand the procedures for emergency response and post-disaster recovery.    \\n\\n Course Objectives  \\n\\n1.  Describe the risk management process\\n2. Perform security assessment activities\\n3. Describe processes for operating and maintaining monitoring systems\\n4. Identify events of interest\\n5. Describe the various source systems\\n6. Interpret reporting findings from monitoring results\\n7. Describe the incident handling process\\n8. Contribute to the incident handling process based upon role within the organization\\n9. Describe the supporting role in forensics investigation processes\\n10. Describe the supporting role in the business continuity planning process\\n11. Describe the supporting role in the disaster recovery planning process",4.83,"https://www.coursera.org/specializations/sscp-training","Pursue better IT security job opportunities and prove knowledge with confidence. The SSCP Professional Training Certificate shows employers you have the IT security foundation to defend against cyber attacks – and puts you on a clear path to earning SSCP certification.\\n\\nLearn on your own schedule with 120-day access to content aligned with the latest (ISC)2 SSCP exam domains. We’re offering the complete online self-paced program for only $1,000 – a $200 savings when you get all domains bundled together.\\n\\n3 Steps to Career Advancement\\n\\n1. Register for the course\\n\\n2. Gain access for 120 days\\n\\n3. Register and sit for the SSCP certification exam\\n\\nUpon completing the SSCP Professional Certificate, you will:\\n\\n1. Complete six courses of preparing you to sit for the Systems Security Certified Practitioner (SSCP) certification exam as outlined below.\\n\\nCourse 1 - Access Controls\\n\\nCourse 2 - Security Operations and Administration\\n\\nCourse 3 - Risk Identification, Monitoring, and Analysis/Incident Response and Recovery\\n\\nCourse 4 - Cryptography\\n\\nCourse 5 - Network and Communication Security\\n\\nCourse 6 - Systems and Application Security\\n\\n2. Receive a certificate of program completion.\\n\\n3. Understand how to implement, monitor and administer an organization’s IT infrastructure in accordance with security policies and procedures that ensure data confidentiality, integrity and availability.","[8.6,31.9]","NA","English","information-technology","security","EEhj5bQSEee9KxLbu3-H9g"]
["(ISC)² Systems Security Certified Practitioner (SSCP)",4.0,"Cryptography","(ISC)²","geek; cryptography; affordance; build-automation; permutations","ADVANCED",11.8,"https://www.coursera.org/learn/cryptography-sscp","Welcome to Cryptography!\\nCryptography is the practice and study of techniques for securing communications in the presence of third parties. You will learn how to protect information in order to ensure its integrity, confidentiality, authenticity, and non-repudiation.\\nYou will come out with a basic understanding of cryptographic concepts and how to apply them, implement secure protocols, key management concepts, key administration and validation, and Public Key Infrastructure.\\n\\nCourse Objectives\\n1. Apply the fundamental concepts of cryptography\\n2. Describe the difference between symmetric and asymmetric cryptography\\n3. Define the basic requirements for cryptography\\n4. Identify processes to support secure protocols\\n5. Describe the process for implementing cryptographic systems\\n6. Define key management concepts\\n7. Define Public Key Infrastructure\\n8. Identify processes for key administration and validation\\n9. Describe the implementation of secure protocols",4.51,"https://www.coursera.org/specializations/sscp-training","Pursue better IT security job opportunities and prove knowledge with confidence. The SSCP Professional Training Certificate shows employers you have the IT security foundation to defend against cyber attacks – and puts you on a clear path to earning SSCP certification.\\n\\nLearn on your own schedule with 120-day access to content aligned with the latest (ISC)2 SSCP exam domains. We’re offering the complete online self-paced program for only $1,000 – a $200 savings when you get all domains bundled together.\\n\\n3 Steps to Career Advancement\\n\\n1. Register for the course\\n\\n2. Gain access for 120 days\\n\\n3. Register and sit for the SSCP certification exam\\n\\nUpon completing the SSCP Professional Certificate, you will:\\n\\n1. Complete six courses of preparing you to sit for the Systems Security Certified Practitioner (SSCP) certification exam as outlined below.\\n\\nCourse 1 - Access Controls\\n\\nCourse 2 - Security Operations and Administration\\n\\nCourse 3 - Risk Identification, Monitoring, and Analysis/Incident Response and Recovery\\n\\nCourse 4 - Cryptography\\n\\nCourse 5 - Network and Communication Security\\n\\nCourse 6 - Systems and Application Security\\n\\n2. Receive a certificate of program completion.\\n\\n3. Understand how to implement, monitor and administer an organization’s IT infrastructure in accordance with security policies and procedures that ensure data confidentiality, integrity and availability.","[5.2,15.8]","NA","English","information-technology","security","KkFzW9N7EeesLg4eQ_-o2A"]
["(ISC)² Systems Security Certified Practitioner (SSCP)",5.0,"Networks and Communications Security","(ISC)²","network-security; list-of-facebook-features; tree-traversal; randomness; request-for-comments; application-layer","ADVANCED",15.8,"https://www.coursera.org/learn/network-security-communications-sscp","Welcome to Networks and Communications Security Course!\\nIn the Networks and Communications Security Course, you will learn about the network structure, data transmission methods, transport formats, and the security measures used to maintain integrity, availability, authentication, and confidentiality of the information being transmitted.\\nConcepts for both public and private communication networks will be discussed.\\n\\nCourse Objectives\\n1. Describe network-related security issues\\n2. Identify protective measures for telecommunication technologies\\n3. Define processes for controlling network access\\n4. Identify processes for managing LAN-based security\\n5. Describe procedures for operating and configuring networked-based\\nsecurity devices\\n6. Define procedures to implement and operate wireless technologies",4.68,"https://www.coursera.org/specializations/sscp-training","Pursue better IT security job opportunities and prove knowledge with confidence. The SSCP Professional Training Certificate shows employers you have the IT security foundation to defend against cyber attacks – and puts you on a clear path to earning SSCP certification.\\n\\nLearn on your own schedule with 120-day access to content aligned with the latest (ISC)2 SSCP exam domains. We’re offering the complete online self-paced program for only $1,000 – a $200 savings when you get all domains bundled together.\\n\\n3 Steps to Career Advancement\\n\\n1. Register for the course\\n\\n2. Gain access for 120 days\\n\\n3. Register and sit for the SSCP certification exam\\n\\nUpon completing the SSCP Professional Certificate, you will:\\n\\n1. Complete six courses of preparing you to sit for the Systems Security Certified Practitioner (SSCP) certification exam as outlined below.\\n\\nCourse 1 - Access Controls\\n\\nCourse 2 - Security Operations and Administration\\n\\nCourse 3 - Risk Identification, Monitoring, and Analysis/Incident Response and Recovery\\n\\nCourse 4 - Cryptography\\n\\nCourse 5 - Network and Communication Security\\n\\nCourse 6 - Systems and Application Security\\n\\n2. Receive a certificate of program completion.\\n\\n3. Understand how to implement, monitor and administer an organization’s IT infrastructure in accordance with security policies and procedures that ensure data confidentiality, integrity and availability.","[7.9,22.4]","NA","English","information-technology","security","f8aGKd6gEeenNRKVx8XrYg"]
["(ISC)² Systems Security Certified Practitioner (SSCP)",6.0,"Systems and Application Security","(ISC)²","subscriber-identity-module; dos-wedge; personally-identifiable-information; hacker; portable-document-format","ADVANCED",13.6,"https://www.coursera.org/learn/systems-application-security-sscp","Welcome to Systems and Application Security Course!\\nIn the Systems and Application Security Course, you will gain an understanding of computer code that can be described as harmful or malicious. Both technical and non-technical attacks will be discussed. You will learn how an organization can protect itself from these attacks. You will learn concepts in endpoint device security, cloud infrastructure security, securing big data systems, and securing virtual environments.\\nObjectives\\n1. Identify malicious code activity\\n2. Describe malicious code and the various countermeasures\\n3. Describe the processes for operating endpoint device security\\n4. Define mobile device management processes\\n5. Describe the process for configuring cloud security\\n6. Explain the process for securing big data systems\\n7. Summarize the process for securing virtual environments",4.72,"https://www.coursera.org/specializations/sscp-training","Pursue better IT security job opportunities and prove knowledge with confidence. The SSCP Professional Training Certificate shows employers you have the IT security foundation to defend against cyber attacks – and puts you on a clear path to earning SSCP certification.\\n\\nLearn on your own schedule with 120-day access to content aligned with the latest (ISC)2 SSCP exam domains. We’re offering the complete online self-paced program for only $1,000 – a $200 savings when you get all domains bundled together.\\n\\n3 Steps to Career Advancement\\n\\n1. Register for the course\\n\\n2. Gain access for 120 days\\n\\n3. Register and sit for the SSCP certification exam\\n\\nUpon completing the SSCP Professional Certificate, you will:\\n\\n1. Complete six courses of preparing you to sit for the Systems Security Certified Practitioner (SSCP) certification exam as outlined below.\\n\\nCourse 1 - Access Controls\\n\\nCourse 2 - Security Operations and Administration\\n\\nCourse 3 - Risk Identification, Monitoring, and Analysis/Incident Response and Recovery\\n\\nCourse 4 - Cryptography\\n\\nCourse 5 - Network and Communication Security\\n\\nCourse 6 - Systems and Application Security\\n\\n2. Receive a certificate of program completion.\\n\\n3. Understand how to implement, monitor and administer an organization’s IT infrastructure in accordance with security policies and procedures that ensure data confidentiality, integrity and availability.","[6.2,17.6]","NA","English","information-technology","security","igHnPPcPEee5QAoaLNzYmg"]
["Arizona State University TESOL",1.0,"Teach English Now! Foundational Principles","Arizona State University","online-learning; courage; want; education; opinion; belief","BEGINNER",18.6,"https://www.coursera.org/learn/english-principles","Through a series of engaging metaphors and stories, prospective and current EFL/ESL teachers will identify, summarize, and evaluate 7 basic language learning paradigms.  Learners will be presented information on such foundational principles as motivation, risk taking, two different modes of learning, and balancing the teacher profession.  Learners are also given an understanding of basic techniques founded on those principles, such as teacher talk, looking “ridiculous” in order to lower the affective filter, and networking.   With these foundational principles in mind, ESL/EFL teachers will scrutinize common assumptions about language learning by comparing how they stack up to research-based core principles.",4.87,"https://www.coursera.org/specializations/arizona-state-university-tesol","This course is designed for anyone who wants to teach English anywhere in the world. If you want to become a teacher, polish your teaching skills, or add a credential to your resume, this is the course for you! Get certified by a nationally-ranked university.","[10.8,26.6]","Ukrainian; Chinese; Russian; Spanish; Arabic; Portuguese","English","social-sciences","education","TIDJWBwuEeWP9g4JMjGIiQ"]
["Arizona State University TESOL",2.0,"Teach English Now! Theories of Second Language Acquisition","Arizona State University","online-learning; want; education; opinion","INTERMEDIATE",16.4,"https://www.coursera.org/learn/language-theories","In this course learners are introduced to second or foreign language theories and practices for teaching and assessing listening, speaking, and pronunciation.  Learners will also be introduced to basic studies in second language acquisition and their pedagogical implications.  Teachers will be invited to recognize the importance of grounding their own teaching philosophy through an examination of purpose, content, and technique.",4.87,"https://www.coursera.org/specializations/arizona-state-university-tesol","This course is designed for anyone who wants to teach English anywhere in the world. If you want to become a teacher, polish your teaching skills, or add a credential to your resume, this is the course for you! Get certified by a nationally-ranked university.","[9.7,22.3]","Spanish","English","social-sciences","education","d64E7li7EeWylgpjfV1KVQ"]
["Arizona State University TESOL",3.0,"Teach English Now! Lesson Design and Assessment","Arizona State University","online-learning; education","INTERMEDIATE",21.2,"https://www.coursera.org/learn/lesson-design","Learners will be introduced to designing lesson plans based on principles and knowledge of learning objectives, assessment plans, methods, materials, and learning activities. Learners will find and prepare appropriate teaching materials through careful analysis, adaptation and creation of professional resources. Learners will also reflect on the cohesion between lesson design and teaching philosophies.",4.9,"https://www.coursera.org/specializations/arizona-state-university-tesol","This course is designed for anyone who wants to teach English anywhere in the world. If you want to become a teacher, polish your teaching skills, or add a credential to your resume, this is the course for you! Get certified by a nationally-ranked university.","[12.5,31.9]","Spanish; Persian","English","social-sciences","education","vIC_m1i_EeWzUQ41NnCQkQ"]
["Arizona State University TESOL",4.0,"Teach English Now! Capstone Project 1","Arizona State University","education","BEGINNER",47.1,"https://www.coursera.org/learn/teaching-english-capstone","In the final Capstone Project, you will apply the skills you learned by observing teachers at work (a total of six hours of observation).  You will build on the concepts learned from the previous courses to analyze the lessons.  You will also submit your teaching philosophy, a five-day lesson plan, and a teaching tip. You will deliver a portion of your lesson, submitting a 6-10 minute video for peer review.  If you have completed Teach English Now! Part 1 and Teach English Now! Part 2, you will submit your work for expert review to receive your ASU 150-hour TESOL Certificate from ASU, in addition to your Coursera certificates.",4.85,"https://www.coursera.org/specializations/arizona-state-university-tesol","This course is designed for anyone who wants to teach English anywhere in the world. If you want to become a teacher, polish your teaching skills, or add a credential to your resume, this is the course for you! Get certified by a nationally-ranked university.","[21.9,76.2]","NA","English","social-sciences","education","6r0j3li_EeWzUQ41NnCQkQ"]
["Arizona State University TESOL",4.0,"Teach English Now! Capstone Project 1","Arizona State University","education","BEGINNER",47.1,"https://www.coursera.org/learn/teaching-english-capstone","In the final Capstone Project, you will apply the skills you learned by observing teachers at work (a total of six hours of observation).  You will build on the concepts learned from the previous courses to analyze the lessons.  You will also submit your teaching philosophy, a five-day lesson plan, and a teaching tip. You will deliver a portion of your lesson, submitting a 6-10 minute video for peer review.  If you have completed Teach English Now! Part 1 and Teach English Now! Part 2, you will submit your work for expert review to receive your ASU 150-hour TESOL Certificate from ASU, in addition to your Coursera certificates.",4.85,"https://www.coursera.org/specializations/arizona-state-university-tesol","This course is designed for anyone who wants to teach English anywhere in the world. If you want to become a teacher, polish your teaching skills, or add a credential to your resume, this is the course for you! Get certified by a nationally-ranked university.","[21.9,76.2]","NA","English","social-sciences","education","6r0j3li_EeWzUQ41NnCQkQ"]
["Arizona State University TESOL",5.0,"Teach English Now! Second Language Reading, Writing, and Grammar","Arizona State University","english-grammar; language; confidence; lesson-plan; writing; english-language; grammar; essay-writing; plan; teaching","BEGINNER",19.7,"https://www.coursera.org/learn/tesol-writing","In this course, you will learn ideas for teaching reading and writing courses, and how to include grammar instruction within them.  Learn how to help students with differing types of reading problems and how to implement both intensive and extensive reading strategies.  Learn strategies to engage students in the stages of writing--pre-writing, writing, and post-writing.  Find out about different writing problems that students may encounter.  Incorporate grammar through the use of noticing and input enhancement.",4.9,"https://www.coursera.org/specializations/arizona-state-university-tesol","This course is designed for anyone who wants to teach English anywhere in the world. If you want to become a teacher, polish your teaching skills, or add a credential to your resume, this is the course for you! Get certified by a nationally-ranked university.","[12.2,28.1]","Arabic; Spanish","English","language-learning","learning-english","RLshf_xsEeWa_RIigsB41Q"]
["Arizona State University TESOL",5.0,"Teach English Now! Second Language Reading, Writing, and Grammar","Arizona State University","english-grammar; language; confidence; lesson-plan; writing; english-language; grammar; essay-writing; plan; teaching","BEGINNER",19.7,"https://www.coursera.org/learn/tesol-writing","In this course, you will learn ideas for teaching reading and writing courses, and how to include grammar instruction within them.  Learn how to help students with differing types of reading problems and how to implement both intensive and extensive reading strategies.  Learn strategies to engage students in the stages of writing--pre-writing, writing, and post-writing.  Find out about different writing problems that students may encounter.  Incorporate grammar through the use of noticing and input enhancement.",4.9,"https://www.coursera.org/specializations/arizona-state-university-tesol","This course is designed for anyone who wants to teach English anywhere in the world. If you want to become a teacher, polish your teaching skills, or add a credential to your resume, this is the course for you! Get certified by a nationally-ranked university.","[12.2,28.1]","Arabic; Spanish","English","language-learning","learning-english","RLshf_xsEeWa_RIigsB41Q"]
["Arizona State University TESOL",6.0,"Teach English Now! Second Language Listening, Speaking, and Pronunciation","Arizona State University","language; confidence; lesson-plan; speech; writing; english-language; presentation; plan; planning; teaching; learning","INTERMEDIATE",20.4,"https://www.coursera.org/learn/tesol-speaking","In this course, you will be introduced to some of the challenges of teaching and learning listening and speaking, such as paralinguistics, performance variables, reduced and regional forms, and differing types of oral discourse. Don't worry--you'll learn what those mean, too!  Then you'll learn how to ease the acquisition of listening and speaking for your students. The course also highlights the powerful opportunity to include pronunciation in listening and speaking classes and offers strategies to incorporate pronunciation activities.",4.89,"https://www.coursera.org/specializations/arizona-state-university-tesol","This course is designed for anyone who wants to teach English anywhere in the world. If you want to become a teacher, polish your teaching skills, or add a credential to your resume, this is the course for you! Get certified by a nationally-ranked university.","[11.8,30.1]","Arabic; Spanish","English","language-learning","learning-english","bvroJANGEeaJMgqy4cb6jQ"]
["Arizona State University TESOL",6.0,"Teach English Now! Second Language Listening, Speaking, and Pronunciation","Arizona State University","language; confidence; lesson-plan; speech; writing; english-language; presentation; plan; planning; teaching; learning","INTERMEDIATE",20.4,"https://www.coursera.org/learn/tesol-speaking","In this course, you will be introduced to some of the challenges of teaching and learning listening and speaking, such as paralinguistics, performance variables, reduced and regional forms, and differing types of oral discourse. Don't worry--you'll learn what those mean, too!  Then you'll learn how to ease the acquisition of listening and speaking for your students. The course also highlights the powerful opportunity to include pronunciation in listening and speaking classes and offers strategies to incorporate pronunciation activities.",4.89,"https://www.coursera.org/specializations/arizona-state-university-tesol","This course is designed for anyone who wants to teach English anywhere in the world. If you want to become a teacher, polish your teaching skills, or add a credential to your resume, this is the course for you! Get certified by a nationally-ranked university.","[11.8,30.1]","Spanish; Arabic","English","language-learning","learning-english","bvroJANGEeaJMgqy4cb6jQ"]
["Arizona State University TESOL",7.0,"Teach English Now! Technology Enriched Teaching","Arizona State University","gratitude; instructional-design; lesson-plan; professional-development; language; speech; professional; thought; english-language; plan; teaching","INTERMEDIATE",21.5,"https://www.coursera.org/learn/tesol-technology","This course focuses on the key concepts you need in order to effectively integrate technology into your teaching, without letting it overshadow language learning. Discover current and future trends in educational technology, along with strategies for implementing these trends in the classroom and beyond. As technology is continually evolving, learn how to keep up on current technological applications through professional development networks and training opportunities.",4.84,"https://www.coursera.org/specializations/arizona-state-university-tesol","This course is designed for anyone who wants to teach English anywhere in the world. If you want to become a teacher, polish your teaching skills, or add a credential to your resume, this is the course for you! Get certified by a nationally-ranked university.","[11.1,31.9]","Spanish; Russian","English","language-learning","learning-english","raZNrgNGEeaJMgqy4cb6jQ"]
["Arizona State University TESOL",7.0,"Teach English Now! Technology Enriched Teaching","Arizona State University","gratitude; instructional-design; lesson-plan; professional-development; language; speech; professional; thought; english-language; plan; teaching","INTERMEDIATE",21.5,"https://www.coursera.org/learn/tesol-technology","This course focuses on the key concepts you need in order to effectively integrate technology into your teaching, without letting it overshadow language learning. Discover current and future trends in educational technology, along with strategies for implementing these trends in the classroom and beyond. As technology is continually evolving, learn how to keep up on current technological applications through professional development networks and training opportunities.",4.84,"https://www.coursera.org/specializations/arizona-state-university-tesol","This course is designed for anyone who wants to teach English anywhere in the world. If you want to become a teacher, polish your teaching skills, or add a credential to your resume, this is the course for you! Get certified by a nationally-ranked university.","[11.1,31.9]","Spanish; Russian","English","language-learning","learning-english","raZNrgNGEeaJMgqy4cb6jQ"]
["Arizona State University TESOL",8.0,"Teach English Now! Capstone Project 2","Arizona State University","gratitude; language; lesson-plan; teaching-method; evaluation; writing; english-language; plan; planning; teaching","BEGINNER",18.7,"https://www.coursera.org/learn/teaching-english-capstone-2","In the final Capstone Project, you will apply the skills you learned by doing practice teaching.  You will build on your assignments from the previous courses to refine your lesson plans and video-tape yourself presenting the lesson.  You will submit a total of ten videos.  If you have completed Teach English Now! Part 1 and Teach English Now! Part 2, you will submit your work for expert review to receive your ASU 150-hour TESOL Certificate from ASU, in addition to your Coursera certificates.",4.76,"https://www.coursera.org/specializations/arizona-state-university-tesol","This course is designed for anyone who wants to teach English anywhere in the world. If you want to become a teacher, polish your teaching skills, or add a credential to your resume, this is the course for you! Get certified by a nationally-ranked university.","[12.5,22.4]","Arabic","English","language-learning","learning-english","H9srQANGEeakfg64MWgFTw"]
["Arizona State University TESOL",8.0,"Teach English Now! Capstone Project 2","Arizona State University","gratitude; language; lesson-plan; teaching-method; evaluation; writing; english-language; plan; planning; teaching","BEGINNER",18.7,"https://www.coursera.org/learn/teaching-english-capstone-2","In the final Capstone Project, you will apply the skills you learned by doing practice teaching.  You will build on your assignments from the previous courses to refine your lesson plans and video-tape yourself presenting the lesson.  You will submit a total of ten videos.  If you have completed Teach English Now! Part 1 and Teach English Now! Part 2, you will submit your work for expert review to receive your ASU 150-hour TESOL Certificate from ASU, in addition to your Coursera certificates.",4.76,"https://www.coursera.org/specializations/arizona-state-university-tesol","This course is designed for anyone who wants to teach English anywhere in the world. If you want to become a teacher, polish your teaching skills, or add a credential to your resume, this is the course for you! Get certified by a nationally-ranked university.","[12.5,22.4]","Arabic","English","language-learning","learning-english","H9srQANGEeakfg64MWgFTw"]
["Cloud Architecture with Google Cloud",1.0,"Google Cloud Platform Fundamentals: Core Infrastructure","Google Cloud","graphical-environment-manager; google-app-engine; google-compute-engine; cloud-computing; bigquery; cloud-platforms; google-cloud-platform; google; kubernetes; cloud-storage","BEGINNER",45.1,"https://www.coursera.org/learn/gcp-fundamentals","This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.\\n\\nNote:\\n•Google services are currently unavailable in China.",4.71,"https://www.coursera.org/specializations/gcp-cloud-architect","The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.\\n\\nThis program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.\\n\\nYou'll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in the understanding of cloud architecture and Google Cloud Platform, design, develop, and manage solutions to drive business objectives, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[14,77.6]","German; Spanish; Portuguese; French; Japanese","English","information-technology","cloud-computing","h9LqVq-lEeauxBIk_RF-8A"]
["Cloud Architecture with Google Cloud",2.0,"Essential Cloud Infrastructure: Foundation","Google Cloud","virtual-private-networks; cloud-computing; google-compute-engine; private-network; virtual-machine; google; cloud-platforms; cloud-infrastructure; google-cloud-platform; network-architecture","BEGINNER",25.9,"https://www.coursera.org/learn/gcp-infrastructure-foundation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud Platform through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<",4.72,"https://www.coursera.org/specializations/gcp-cloud-architect","The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.\\n\\nThis program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.\\n\\nYou'll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in the understanding of cloud architecture and Google Cloud Platform, design, develop, and manage solutions to drive business objectives, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[10,44.2]","NA","English","information-technology","cloud-computing","sK6edjzPEees8grTZvuQjA"]
["Cloud Architecture with Google Cloud",3.0,"Essential Cloud Infrastructure: Core Services","Google Cloud","sql; cloud-computing; bigquery; identity-management; debugging; google-cloud-platform; google; cloud-platforms; cloud-infrastructure; cloud-storage","BEGINNER",29.3,"https://www.coursera.org/learn/gcp-infrastructure-core-services","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Cloud Infrastructure: Foundation or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<",4.68,"https://www.coursera.org/specializations/gcp-cloud-architect","The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.\\n\\nThis program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.\\n\\nYou'll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in the understanding of cloud architecture and Google Cloud Platform, design, develop, and manage solutions to drive business objectives, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[10.5,50.2]","NA","English","information-technology","cloud-computing","9xG8yUo7EeeJdBL3H0RODg"]
["Cloud Architecture with Google Cloud",4.0,"Elastic Cloud Infrastructure: Scaling and Automation","Google Cloud","virtual-private-networks; load-balancing; deployment-environment; build-automation; cloud-computing; autoscaling; cloud-platforms; cloud-infrastructure; google-cloud-platform; google","BEGINNER",26.4,"https://www.coursera.org/learn/gcp-infrastructure-scaling-automation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.\\n\\nPrerequisites: \\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Cloud Infrastructure: Foundation or have equivalent experience\\n• Completed Essential Cloud Infrastructure: Core Services or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<",4.66,"https://www.coursera.org/specializations/gcp-cloud-architect","The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.\\n\\nThis program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.\\n\\nYou'll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in the understanding of cloud architecture and Google Cloud Platform, design, develop, and manage solutions to drive business objectives, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.8,44.2]","NA","English","information-technology","cloud-computing","G4Fvqko8Eee4pw7hxA2o1A"]
["Cloud Architecture with Google Cloud",5.0,"Reliable Cloud Infrastructure: Design and Process","Google Cloud","deployment-environment; cloud-computing; site-reliability-engineering; reliability-engineering; cloud-platforms; google-cloud-platform; google; cloud-infrastructure; security-design; disasters","BEGINNER",11.5,"https://www.coursera.org/learn/cloud-infrastructure-design-process","This online course equips students to build highly reliable and efficient solutions on Google Cloud Platform, using proven design patterns and principles derived from Google Site Reliability Engineering (SRE). It is a continuation of the Architecting with Google Compute Engine Specialization and assumes hands-on experience with the technologies covered in the other courses in the specialization.\\nThrough a combination of presentations, challenges, and hands-on labs, participants learn to design GCP deployments that are highly reliable and secure; and how to operate GCP deployments in a highly available and cost-effective manner.\\n\\nThis course teaches participants the following skills:\\n● Design for high availability, scalability, and maintainability.\\n● Assess tradeoffs and make sound choices among Google Cloud Platform products..\\n● Integrate on-premises and cloud resources.\\n● Identify ways to optimize resources and minimize cost.\\n● Implement processes that minimize downtime, such as monitoring and alarming, unit and integration testing, production resilience testing, and incident post-mortem analysis.\\n● Implement policies that minimize security risks, such as auditing, separation of duties and least privilege.\\n● Implement technologies and processes that assure business continuity in the event of a disaster.\\n\\nPrerequisites\\n● Completion of prior courses in the Architecting with Google Cloud Platform Specialization or equivalent experience\\n● Basic proficiency with command-line tools and Linux operating system environments\\n● Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud\\nenvironment",4.72,"https://www.coursera.org/specializations/gcp-cloud-architect","The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.\\n\\nThis program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.\\n\\nYou'll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in the understanding of cloud architecture and Google Cloud Platform, design, develop, and manage solutions to drive business objectives, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[6,14.2]","German; French; Portuguese; Japanese; Spanish; Indonesian","English","information-technology","cloud-computing","Hdkvqa-VEeemsBI74hnnzA"]
["Cloud Architecture with Google Cloud",6.0,"Preparing for the Google Cloud Professional Cloud Architect Exam","Google Cloud","cloud-computing; top-down-and-bottom-up-design; business-requirements; technical-analysis; google; cloud-platforms; google-cloud-platform; kubernetes","BEGINNER",25.6,"https://www.coursera.org/learn/preparing-cloud-professional-cloud-architect-exam","From the course: \"The best way to prepare for the exam is to be competent in the skills required of the job.\"\\n\\nThis course uses a top-down approach to recognize knowledge and skills already known, and to surface information and skill areas for additional preparation. You can use this course to help create your own custom preparation plan. It helps you distinguish what you know from what you don't know. And it helps you develop and practice skills required of practitioners who perform this job.\\n\\nThe course follows the organization of the Exam Guide outline, presenting highest-level concepts, \"touchstones\", for you to determine whether you feel confident about your knowledge of that area and its dependent concepts, or if you want more study. You also will learn about and have the opportunity to practice key job skills, including cognitive skills such as case analysis, identifying technical watchpoints, and developing proposed solutions. These are job skills that are also exam skills. You will also test your basic abilities with Activity Tracking Challenge Labs. And you will have many sample questions similar to those on the exam, including solutions. The end of the course contains an ungraded practice exam quiz, followed by a graded practice exam quiz that simulates the exam-taking experience.",4.57,"https://www.coursera.org/specializations/gcp-cloud-architect","The Google Cloud Professional Cloud Architect certification was ranked one of the top paying IT certifications of 2019 by Global Knowledge.\\n\\nThis program provides the skills you need to advance your career as a professional cloud architect and recommends training to support your preparation for the industry-recognized Google Cloud Professional Cloud Architect certification.\\n\\nYou'll have the opportunity to deploy solution elements, including infrastructure components such as networks, systems and applications services, and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in the understanding of cloud architecture and Google Cloud Platform, design, develop, and manage solutions to drive business objectives, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.9,41.7]","Portuguese; Japanese; Spanish","English","information-technology","cloud-computing","7G9QP_fWEeiRYAoJyynoUg"]
["Cloud Engineering with Google Cloud",1.0,"Google Cloud Platform Fundamentals: Core Infrastructure","Google Cloud","graphical-environment-manager; google-app-engine; google-compute-engine; cloud-computing; bigquery; cloud-platforms; google-cloud-platform; google; kubernetes; cloud-storage","BEGINNER",45.1,"https://www.coursera.org/learn/gcp-fundamentals","This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.\\n\\nNote:\\n•Google services are currently unavailable in China.",4.71,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[14,77.6]","Japanese; Spanish; German; Portuguese; French","English","information-technology","cloud-computing","h9LqVq-lEeauxBIk_RF-8A"]
["Cloud Engineering with Google Cloud",2.0,"Essential Cloud Infrastructure: Foundation","Google Cloud","virtual-private-networks; cloud-computing; google-compute-engine; private-network; virtual-machine; google; cloud-platforms; cloud-infrastructure; google-cloud-platform; network-architecture","BEGINNER",25.9,"https://www.coursera.org/learn/gcp-infrastructure-foundation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, virtual machines and applications services. You will learn how to use the Google Cloud Platform through the console and Cloud Shell. You'll also learn about the role of a cloud architect, approaches to infrastructure design, and virtual networking configuration with Virtual Private Cloud (VPC), Projects, Networks, Subnetworks, IP addresses, Routes, and Firewall rules.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<",4.72,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[10,44.2]","NA","English","information-technology","cloud-computing","sK6edjzPEees8grTZvuQjA"]
["Cloud Engineering with Google Cloud",3.0,"Essential Cloud Infrastructure: Core Services","Google Cloud","sql; cloud-computing; bigquery; identity-management; debugging; google-cloud-platform; google; cloud-platforms; cloud-infrastructure; cloud-storage","BEGINNER",29.3,"https://www.coursera.org/learn/gcp-infrastructure-core-services","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform with a focus on Compute Engine. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including infrastructure components such as networks, systems and applications services. This course also covers deploying practical solutions including customer-supplied encryption keys, security and access management, quotas and billing, and resource monitoring.\\n\\nPrerequisites:\\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Cloud Infrastructure: Foundation or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<",4.68,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[10.5,50.2]","NA","English","information-technology","cloud-computing","9xG8yUo7EeeJdBL3H0RODg"]
["Cloud Engineering with Google Cloud",4.0,"Elastic Cloud Infrastructure: Scaling and Automation","Google Cloud","virtual-private-networks; load-balancing; deployment-environment; build-automation; cloud-computing; autoscaling; cloud-platforms; cloud-infrastructure; google-cloud-platform; google","BEGINNER",26.4,"https://www.coursera.org/learn/gcp-infrastructure-scaling-automation","This accelerated on-demand course introduces participants to the comprehensive and flexible infrastructure and platform services provided by Google Cloud Platform. Through a combination of video lectures, demos, and hands-on labs, participants explore and deploy solution elements, including securely interconnecting networks, load balancing, autoscaling, infrastructure automation and managed services.\\n\\nPrerequisites: \\nTo get the most out of this course, participants should have:\\n• Completed Google Cloud Platform Fundamentals: Core Infrastructure or have equivalent experience\\n• Completed Essential Cloud Infrastructure: Foundation or have equivalent experience\\n• Completed Essential Cloud Infrastructure: Core Services or have equivalent experience\\n• Basic proficiency with command-line tools and Linux operating system environments\\n• Systems Operations experience including deploying and managing applications, either on-premises or in a public cloud environment\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<",4.66,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[9.8,44.2]","NA","English","information-technology","cloud-computing","G4Fvqko8Eee4pw7hxA2o1A"]
["Cloud Engineering with Google Cloud",5.0,"Preparing for the Google Cloud Associate Cloud Engineer Exam","Google Cloud","load-balancing; cloud-computing; google-compute-engine; identity-management; load-balancing-computing; cloud-platforms; google-cloud-platform; google; kubernetes; data-clustering-algorithms; cloud-engineering","BEGINNER",13.7,"https://www.coursera.org/learn/preparing-cloud-associate-cloud-engineer-exam","This one-week on-demand course helps prospective candidates structure their preparation for the Associate Cloud Engineer exam. The session will cover the structure and format of the examination, as well as its relationship to other Google Cloud certifications. Through lectures, demos and hands-on labs, candidates will familiarize themselves with the domains covered by the examination.\\n\\nThis course by itself will not prepare a candidate to pass the Associate Cloud Engineer certification exam.  It will, however, help the candidate better understand the areas covered by the exam and navigate the recommended resources provided by Google and Qwiklabs for preparing to take the exam, so they can formulate their own personal study plan.\\n\\n\\n>>> By enrolling in this course you agree to the Qwiklabs Terms of Service as set out in the FAQ and located at: https://qwiklabs.com/terms_of_service <<<",4.71,"https://www.coursera.org/specializations/cloud-engineering-gcp","This program provides the skills you need to advance your career as a cloud engineer and recommends training to support your preparation for the industry-recognized Google Cloud Associate Cloud Engineer.\\n\\nYou'll also have the opportunity to practice key job skills, such as setting up a cloud environment and configuring and deploying a solution in the cloud.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency in using the Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certification.","[5.5,23.9]","NA","English","information-technology","cloud-computing","W6zo0XaPEemMiBJD8adJBg"]
["Data Engineering with Google Cloud",1.0,"Google Cloud Platform Big Data and Machine Learning Fundamentals","Google Cloud","tensorflow; cloud-computing; big-data; bigquery; machine-learning; dataflow; google-cloud-platform; google; cloud-platforms; google-cloud-dataproc","BEGINNER",30.0,"https://www.coursera.org/learn/gcp-big-data-ml-fundamentals","This 2-week accelerated on-demand course introduces participants to the Big Data and Machine Learning capabilities of Google Cloud Platform (GCP). It provides a quick overview of the Google Cloud Platform and a deeper dive of the data processing capabilities.\\n\\nAt the end of this course, participants will be able to:\\n• Identify the purpose and value of the key Big Data and Machine Learning products in the Google Cloud Platform\\n• Use CloudSQL and Cloud Dataproc to migrate existing MySQL and Hadoop/Pig/Spark/Hive workloads to Google Cloud Platform\\n• Employ BigQuery and Cloud Datalab to carry out interactive data analysis\\n• Choose between Cloud SQL, BigTable and Datastore\\n• Train and use a neural network using TensorFlow\\n• Choose between different data processing products on the Google Cloud Platform\\n\\nBefore enrolling in this course, participants should have roughly one (1) year of experience with one or more of the following:\\n• A common query language such as SQL\\n• Extract, transform, load activities\\n• Data modeling\\n• Machine learning and/or statistics\\n• Programming in Python\\n\\nGoogle Account Notes:\\n• Google services are currently unavailable in China.",4.61,"https://www.coursera.org/specializations/gcp-data-engineering","This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nYou'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency to design and build data processing systems and operationalize machine learning models on Google Cloud Platform, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certifications.","[11.4,52.7]","NA","English","data-science","machine-learning","qu0f3u1nEea3iQqSVF8Nwg"]
["Data Engineering with Google Cloud",2.0,"Modernizing Data Lakes and Data Warehouses with GCP","Google Cloud","sql; cloud-computing; bigquery; record-computer-science; cluster-analysis; data-warehousing; google; data-lake; data-clustering-algorithms; cloud-storage","BEGINNER",10.6,"https://www.coursera.org/learn/data-lakes-data-warehouses-gcp","The two key components of any data pipeline are data lakes and warehouses. This course highlights use-cases for each type of storage and dives into the available data lake and warehouse solutions on Google Cloud Platform in technical detail. Also, this course describes the role of a data engineer, the benefits of a successful data pipeline to business operations, and examines why data engineering should be done in a cloud environment. Learners will get hands-on experience with data lakes and warehouses on Google Cloud Platform using QwikLabs.",4.64,"https://www.coursera.org/specializations/gcp-data-engineering","This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nYou'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency to design and build data processing systems and operationalize machine learning models on Google Cloud Platform, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certifications.","[6.7,13]","NA","English","information-technology","cloud-computing","yFlo3xpQEeqQQxIxeQaLNQ"]
["Data Engineering with Google Cloud",3.0,"Building Batch Data Pipelines on GCP","Google Cloud","cloud-computing; extract--transform--load; bigquery; beam-robotics; data-fusion; dataflow; google; google-cloud-dataproc; apache-beam","ADVANCED",13.5,"https://www.coursera.org/learn/batch-data-pipelines-gcp","Data pipelines typically fall under one of the Extra-Load, Extract-Load-Transform or Extract-Transform-Load paradigms. This course describes which paradigm should be used and when for batch data. Furthermore, this course covers several technologies on Google Cloud Platform for data transformation including BigQuery, executing Spark on Cloud Dataproc, pipeline graphs in Cloud Data Fusion and serverless data processing with Cloud Dataflow. Learners will get hands-on experience building data pipeline components on Google Cloud Platform using QwikLabs.",4.55,"https://www.coursera.org/specializations/gcp-data-engineering","This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nYou'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency to design and build data processing systems and operationalize machine learning models on Google Cloud Platform, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certifications.","[8.4,16.1]","NA","English","information-technology","cloud-computing","oxwGHxp1EeqQQxIxeQaLNQ"]
["Data Engineering with Google Cloud",4.0,"Building Resilient Streaming Analytics Systems on GCP","Google Cloud","cloud-computing; bigquery; streams; dataflow; publish-subscribe-pattern; google-cloud-platform; bigtable","INTERMEDIATE",11.4,"https://www.coursera.org/learn/streaming-analytics-systems-gcp","*Note: this is a new course with updated content from what you may have seen in the previous version of this Specialization.\\n\\nProcessing streaming data is becoming increasingly popular as streaming enables businesses to get real-time metrics on business operations. This course covers how to build streaming data pipelines on Google Cloud Platform. Cloud Pub/Sub is described for handling incoming streaming data. The course also covers how to apply aggregations and transformations to streaming data using Cloud Dataflow, and how to store processed records to BigQuery or Cloud Bigtable for analysis. Learners will get hands-on experience building streaming data pipeline components on Google Cloud Platform using QwikLabs.",4.72,"https://www.coursera.org/specializations/gcp-data-engineering","This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nYou'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency to design and build data processing systems and operationalize machine learning models on Google Cloud Platform, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certifications.","[6.5,14.3]","NA","English","information-technology","cloud-computing","E4Z99BsMEeqMWhJYTN5k1Q"]
["Data Engineering with Google Cloud",5.0,"Smart Analytics, Machine Learning, and AI on GCP","Google Cloud","cloud-computing; bigquery; natural-language-processing","BEGINNER",10.2,"https://www.coursera.org/learn/smart-analytics-machine-learning-ai-gcp","Incorporating machine learning into data pipelines increases the ability of businesses to extract insights from their data. This course covers several ways machine learning can be included in data pipelines on Google Cloud Platform depending on the level of customization required. For little to no customization, this course covers AutoML. For more tailored machine learning capabilities, this course introduces AI Platform Notebooks and BigQuery Machine Learning. Also, this course covers how to productionalize machine learning solutions using Kubeflow. Learners will get hands-on experience building machine learning models on Google Cloud Platform using QwikLabs.",4.34,"https://www.coursera.org/specializations/gcp-data-engineering","This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nYou'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency to design and build data processing systems and operationalize machine learning models on Google Cloud Platform, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certifications.","[5.9,12.9]","NA","English","information-technology","cloud-computing","YX7uVxsLEeq7sAoBB0lfXw"]
["Data Engineering with Google Cloud",6.0,"Preparing for the Google Cloud Professional Data Engineer Exam","Google Cloud","cloud-computing; data-segment; bigquery; inbetweening; dataflow; cloud-platforms; google-cloud-platform; google; information-engineering; google-cloud-dataproc","ADVANCED",27.5,"https://www.coursera.org/learn/preparing-cloud-professional-data-engineer-exam","From the course: \"The best way to prepare for the exam is to be competent in the skills required of the job.\"\\n\\nThis course uses a top-down approach to recognize knowledge and skills already known, and to surface information and skill areas for additional preparation. You can use this course to help create your own custom preparation plan. It helps you distinguish what you know from what you don't know. And it helps you develop and practice skills required of practitioners who perform this job.\\n\\nThe course follows the organization of the Exam Guide outline, presenting highest-level concepts, \"touchstones\", for you to determine whether you feel confident about your knowledge of that area and its dependent concepts, or if you want more study. You also will learn about and have the opportunity to practice key job skills, including cognitive skills such as case analysis, identifying technical watchpoints, and developing proposed solutions. These are job skills that are also exam skills. You will also test your basic abilities with Activity Tracking Challenge Labs. And you will have many sample questions similar to those on the exam, including solutions. The end of the course contains an ungraded practice exam quiz, followed by a graded practice exam quiz that simulates the exam-taking experience.",4.57,"https://www.coursera.org/specializations/gcp-data-engineering","This program provides the skills you need to advance your career in data engineering and recommends training to support your preparation for the industry-recognized Google Cloud Professional Data Engineer certification. Through a combination of presentations, demos, and labs, you will enable data-driven decision making by collecting, transforming, and publishing data; and you'll gain real world experience through a number of hands-on Qwiklabs projects.\\n\\nYou'll also have the opportunity to practice key job skills, including designing, building, and running data processing systems; and operationalizing machine-learning models.\\n\\nUpon successful completion of this program, you will earn a certificate of completion to share with your professional network and potential employers.\\n\\nIf you would like to become Google Cloud certified and demonstrate your proficiency to design and build data processing systems and operationalize machine learning models on Google Cloud Platform, you will need to register for, and pass the official Google Cloud certification exam. You can find more details on how to register and additional resources to support your preparation at cloud.google.com/certifications.","[12.9,42.9]","Japanese; Spanish; Portuguese","English","information-technology","cloud-computing","AZZak_fXEeiy5gqB-GZ7rA"]
["Google IT Automation with Python",1.0,"Crash Course on Python","Google","problem-solving; computer-program; data-type; eulers-totient-function; object-oriented-programming; python-programming-language; data-structure; ipython; programming-language; computer-programming","BEGINNER",21.7,"https://www.coursera.org/learn/python-crash-course","This course is designed to teach you the foundations in order to write simple programs in Python using the most common structures. No previous exposure to programming is needed. By the end of this course, you'll understand the benefits of programming in IT roles; be able to write simple programs using Python; figure out how the building blocks of programming fit together; and combine all of this knowledge to solve a complex programming problem. \\n\\nWe'll start off by diving into the basics of writing a computer program. Along the way, you’ll get hands-on experience with programming concepts through interactive exercises and real-world examples. You’ll quickly start to see how computers can perform a multitude of tasks — you just have to write code that tells them what to do.",4.61,"https://www.coursera.org/specializations/google-it-automation","This new beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career.\\n\\nKnowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employers.\\n\\nThis program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.\\n\\nThis certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions. Upon completing the program, you’ll have the option to share your information with potential employers, like Walmart, Sprint, Hulu, Bank of America, Google (of course!), and more.\\n\\nWe recommend that you have Python installed on your machine. For some courses, you’ll need a computer where you can install Git or ask your administrator to install it for you.\\n\\nIf you’d like to learn the fundamentals of IT support, check out the beginner level Google IT Support Professional Certificate.","[12.1,28.6]","NA","English","information-technology","support-and-operations","8D3R5HiaEeioIg7r4jw_PA"]
["Google IT Automation with Python",2.0,"Using Python to Interact with the Operating System","Google","integration-testing; python-programming-language; regular-expression; bash-unix-shell; linux; unit-testing; computer-programming; unix; unix-shells","ADVANCED",29.4,"https://www.coursera.org/learn/python-operating-system","By the end of this course, you’ll be able to manipulate files and processes on your computer’s operating system. You’ll also have learned about regular expressions -- a very powerful tool for processing text files -- and you’ll get practice using the Linux command line on a virtual machine. And, this might feel like a stretch right now, but you’ll also write a program that processes a bunch of errors in an actual log file and then generates a summary file. That’s a super useful skill for IT Specialists to know.\\n\\nWe’ll kick off by exploring how to execute Python locally, and organize and use code across different Python files. We'll then learn how to read and write different types of files, and use subprocesses and input streams. We'll also dive into Bash scripting and regular expressions -- both very powerful tools for anyone working with systems. We'll even touch on automatic testing, which allow us to automate how we check if our code is correct. To finish, we’ll put all this together by using the tools that we’ve acquired to process data and generate automatic reports.\\n\\nWe’ll also explain how to set up your own developer environment in your machine. This is a key step in being able to write and deploy powerful automation tools.",4.56,"https://www.coursera.org/specializations/google-it-automation","This new beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career.\\n\\nKnowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employers.\\n\\nThis program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.\\n\\nThis certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions. Upon completing the program, you’ll have the option to share your information with potential employers, like Walmart, Sprint, Hulu, Bank of America, Google (of course!), and more.\\n\\nWe recommend that you have Python installed on your machine. For some courses, you’ll need a computer where you can install Git or ask your administrator to install it for you.\\n\\nIf you’d like to learn the fundamentals of IT support, check out the beginner level Google IT Support Professional Certificate.","[17.3,39.2]","NA","English","information-technology","support-and-operations","3XMnuVFsEemYkgoCaF1HCg"]
["Google IT Automation with Python",3.0,"Introduction to Git and GitHub","Google","version-control; code-review; github","ADVANCED",11.9,"https://www.coursera.org/learn/introduction-git-github","In this course, you’ll learn how to keep track of the different versions of your code and configuration files using a popular version control system (VCS) called Git. We'll also go through how to setup an account with a service called GitHub so that you can create your very own remote repositories to store your code and configuration. \\n\\nThroughout this course, you'll learn about Git's core functionality so you can understand how and why it’s used in organizations. We’ll look into both basic and more advanced features, like branches and merging. We'll demonstrate how having a working knowledge of a VCS like Git can be a lifesaver in emergency situations or when debugging. And then we'll explore how to use a VCS to work with others through remote repositories, like the ones provided by GitHub.\\n\\nBy the end of this course, you'll be able to store your code's history in Git and collaborate with others in GitHub, where you’ll also start creating your own portfolio! \\n\\nIn order to follow along and complete the assessments, you’ll need a computer where you can install Git or ask your administrator to install it for you.",4.78,"https://www.coursera.org/specializations/google-it-automation","This new beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career.\\n\\nKnowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employers.\\n\\nThis program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.\\n\\nThis certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions. Upon completing the program, you’ll have the option to share your information with potential employers, like Walmart, Sprint, Hulu, Bank of America, Google (of course!), and more.\\n\\nWe recommend that you have Python installed on your machine. For some courses, you’ll need a computer where you can install Git or ask your administrator to install it for you.\\n\\nIf you’d like to learn the fundamentals of IT support, check out the beginner level Google IT Support Professional Certificate.","[6.4,17]","NA","English","information-technology","cloud-computing","-qIqP1FsEemNmQ6a3syMJg"]
["Google IT Automation with Python",4.0,"Troubleshooting and Debugging Techniques","Google","NA","BEGINNER",14.9,"https://www.coursera.org/learn/troubleshooting-debugging-techniques","In this course, we'll give you the tools to quickly identify and solve real-world problems that you might come across in your IT role. We'll look at a bunch of different strategies and approaches for tackling the most common pitfalls of your code and IT infrastructure. You'll learn strategies for approaching almost any technical problem and then see how those apply to solving different real-world scenarios. \\n\\nWe picked examples that include general system issues, issues with software that someone else wrote, and issues with programs that we wrote. We'll talk about problems that can affect any operating system, and we'll also look at challenges specific to certain platforms and scripting languages.\\n\\nWe strongly recommend that you’ve taken the prior courses in this program, or already have knowledge of Python and Linux so that you can follow along with our troubleshooting examples.",4.64,"https://www.coursera.org/specializations/google-it-automation","This new beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career.\\n\\nKnowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employers.\\n\\nThis program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.\\n\\nThis certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions. Upon completing the program, you’ll have the option to share your information with potential employers, like Walmart, Sprint, Hulu, Bank of America, Google (of course!), and more.\\n\\nWe recommend that you have Python installed on your machine. For some courses, you’ll need a computer where you can install Git or ask your administrator to install it for you.\\n\\nIf you’d like to learn the fundamentals of IT support, check out the beginner level Google IT Support Professional Certificate.","[9,21.4]","NA","English","information-technology","cloud-computing","EId6wlFtEemX4g642wIuAg"]
["Google IT Automation with Python",5.0,"Configuration Management and the Cloud","Google","cloud-computing; configuration-management; cloud-platforms; google-cloud-platform; google; puppet-software","ADVANCED",12.5,"https://www.coursera.org/learn/configuration-management-cloud","In this course, you’ll learn how to apply automation to manage fleets of computers. You’ll understand how to automate the process for deploying new computers, keeping those machines updated, managing large-scale changes, and a lot more. We'll discuss managing both physical machines running in our offices and virtual machines running in the Cloud.\\n\\nWe'll start by looking into an automation technique called configuration management, which lets you manage the configuration of our computers at scale. Specifically, you'll learn how to use Puppet, the current industry standard for configuration management. We'll look at some simple examples, and then see how we can apply the same concepts to more complex cases. You’ll be a Puppet-master in no time!\\n\\nLater on, you'll expand your automation skills by understanding how to use the Cloud to help scale your infrastructure. You'll check out some best practices for handling hundreds of virtual machines running in the Cloud and troubleshooting them when things don't go according to plan.",4.35,"https://www.coursera.org/specializations/google-it-automation","This new beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career.\\n\\nKnowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employers.\\n\\nThis program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.\\n\\nThis certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions. Upon completing the program, you’ll have the option to share your information with potential employers, like Walmart, Sprint, Hulu, Bank of America, Google (of course!), and more.\\n\\nWe recommend that you have Python installed on your machine. For some courses, you’ll need a computer where you can install Git or ask your administrator to install it for you.\\n\\nIf you’d like to learn the fundamentals of IT support, check out the beginner level Google IT Support Professional Certificate.","[6.7,18.6]","NA","English","information-technology","cloud-computing","HuWcu1FtEemShQpcsklh7g"]
["Google IT Automation with Python",6.0,"Automating Real-World Tasks with Python","Google","NA","BEGINNER",4.0,"https://www.coursera.org/learn/automating-real-world-tasks-python","In the final course, we'll tie together the concepts that you’ve learned up until now. You'll tackle real-world scenarios in Qwiklabs that will challenge you to use multiple skills at once.\\n\\nFirst, we'll take a closer look at how to use external Python modules to extend your code's capabilities, and spend some time learning how to use documentation to learn a new module. For example, we'll use the Python Image Library (PIL) to create and modify images. We'll show you some simple examples of how to perform common tasks in the course material, but it will be up to you to explore the module documentation to figure out how to solve specific problems.\\n\\nNext, we'll show you how to communicate with the world outside of your code! You'll use data serialization to turn in-memory objects into messages that can be sent to other programs. Your program will send messages across the network to Application Programming Interfaces (APIs) offered by other programs. For those times when your code needs to talk to a person instead of a program, you'll also learn to send email messages.\\n\\nAt the end of this course, you’ll be able to take a description of a problem and use your skills to create a solution -- just like you would on the job. In your final capstone project, you'll be given a description of what your customer needs, and it will be up to you to create a program to do it!","NA","https://www.coursera.org/specializations/google-it-automation","This new beginner-level, six-course certificate, developed by Google, is designed to provide IT professionals with in-demand skills -- including Python, Git, and IT automation -- that can help you advance your career.\\n\\nKnowing how to write code to solve problems and automate solutions is a crucial skill for anybody in IT. Python, in particular, is now the most in-demand programming language by employers.\\n\\nThis program builds on your IT foundations to help you take your career to the next level. It’s designed to teach you how to program with Python and how to use Python to automate common system administration tasks. You'll also learn to use Git and GitHub, troubleshoot and debug complex problems, and apply automation at scale by using configuration management and the Cloud.\\n\\nThis certificate can be completed in about 6 months and is designed to prepare you for a variety of roles in IT, like more advanced IT Support Specialist or Junior Systems Administrator positions. Upon completing the program, you’ll have the option to share your information with potential employers, like Walmart, Sprint, Hulu, Bank of America, Google (of course!), and more.\\n\\nWe recommend that you have Python installed on your machine. For some courses, you’ll need a computer where you can install Git or ask your administrator to install it for you.\\n\\nIf you’d like to learn the fundamentals of IT support, check out the beginner level Google IT Support Professional Certificate.","[2.2,4.8]","NA","English","information-technology","cloud-computing","K2Ns8esJEemSygq9dtZBMw"]
["Google IT Support",1.0,"Technical Support Fundamentals","Google","integration-testing; customer-support; binary-code; linux; operating-system; pc-hardware; troubleshooting; communications-protocol; internet; software-installation","BEGINNER",19.7,"https://www.coursera.org/learn/technical-support-fundamentals","This course is the first of a series that aims to prepare you for a role as an entry-level IT Support Specialist. In this course, you’ll be introduced to the world of Information Technology, or IT. You’ll learn about the different facets of Information Technology, like computer hardware, the Internet, computer software, troubleshooting, and customer service. This course covers a wide variety of topics in IT that are designed to give you an overview of what’s to come in this certificate program.\\n\\nBy the end of this course, you’ll be able to:\\n● understand how the binary system works\\n● assemble a computer from scratch\\n● choose and install an operating system on a computer\\n● understand what the Internet is, how it works, and the impact it has in the modern world\\n● learn how applications are created and how they work under the hood of a computer\\n● utilize common problem-solving methodologies and soft skills in an Information Technology setting",4.79,"https://www.coursera.org/specializations/google-it-support","This 5-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans. Learn more.\\n\\nUpon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, Hulu, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google. You can also earn a CompTIA and Google dual credential when you complete the Google certificate and pass the CompTIA A+ certification exams.\\n\\nThrough a mix of video lectures, quizzes, and hands-on labs and widgets, the program will introduce you to troubleshooting, customer service, networking, operating systems, system administration and security. You’ll hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers. By dedicating ~5 hours a week, you can complete in under six months.\\n\\nCompleting the program can earn you up to 12 college credits, the equivalent of 4 associate degree-level courses. Learn more in the FAQs below.\\n\\nIf you’re interested in building on your IT foundations, check out the Google IT Automation with Python Professional Certificate.","[12.2,23.2]","Spanish; Portuguese","English","information-technology","support-and-operations","7sBiclFIEeetjQ5ppGVTyA"]
["Google IT Support",2.0,"The Bits and Bytes of Computer Networking","Google","network-layer; cloud-computing; ipv6-address; ipv4; domain-name-system; wireless; troubleshooting; computer-network; network-model; internet","BEGINNER",23.2,"https://www.coursera.org/learn/computer-networking","This course is designed to provide a full overview of computer networking. We’ll cover everything from the fundamentals of modern networking technologies and protocols to an overview of the cloud to practical applications and network troubleshooting. \\n\\nBy the end of this course, you’ll be able to:\\n● describe computer networks in terms of a five-layer model\\n● understand all of the standard protocols involved with TCP/IP communications\\n● grasp powerful network troubleshooting tools and techniques\\n● learn network services like DNS and DHCP that help make computer networks run\\n● understand cloud computing, everything as a service, and cloud storage",4.69,"https://www.coursera.org/specializations/google-it-support","This 5-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans. Learn more.\\n\\nUpon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, Hulu, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google. You can also earn a CompTIA and Google dual credential when you complete the Google certificate and pass the CompTIA A+ certification exams.\\n\\nThrough a mix of video lectures, quizzes, and hands-on labs and widgets, the program will introduce you to troubleshooting, customer service, networking, operating systems, system administration and security. You’ll hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers. By dedicating ~5 hours a week, you can complete in under six months.\\n\\nCompleting the program can earn you up to 12 college credits, the equivalent of 4 associate degree-level courses. Learn more in the FAQs below.\\n\\nIf you’re interested in building on your IT foundations, check out the Google IT Automation with Python Professional Certificate.","[13.8,34.8]","Portuguese; Arabic; Spanish","English","information-technology","networking","X2bX61doEeerkQ5vdwUqtA"]
["Google IT Support",3.0,"Operating Systems and You: Becoming a Power User","Google","command-line-interface; integration-testing; file-system-permissions; linux; linux-file-systems; operating-system; java-annotation; powershell; virtual-machine; troubleshooting","BEGINNER",29.3,"https://www.coursera.org/learn/os-power-user","In this course -- through a combination of video lectures, demonstrations, and hands-on practice -- you’ll learn about the main components of an operating system and how to perform critical tasks like managing software and users, and configuring hardware. \\n\\nBy the end of this course you’ll be able to:\\n● navigate the Windows and Linux filesystems using a graphical user interface and command line interpreter\\n● set up users, groups, and permissions for account access\\n● install, configure, and remove software on the Windows and Linux operating systems\\n● configure disk partitions and filesystems\\n● understand how system processes work and how to manage them\\n● work with system logs and remote connection tools\\n● utilize operating system knowledge to troubleshoot common issues in an IT Support Specialist role",4.56,"https://www.coursera.org/specializations/google-it-support","This 5-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans. Learn more.\\n\\nUpon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, Hulu, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google. You can also earn a CompTIA and Google dual credential when you complete the Google certificate and pass the CompTIA A+ certification exams.\\n\\nThrough a mix of video lectures, quizzes, and hands-on labs and widgets, the program will introduce you to troubleshooting, customer service, networking, operating systems, system administration and security. You’ll hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers. By dedicating ~5 hours a week, you can complete in under six months.\\n\\nCompleting the program can earn you up to 12 college credits, the equivalent of 4 associate degree-level courses. Learn more in the FAQs below.\\n\\nIf you’re interested in building on your IT foundations, check out the Google IT Automation with Python Professional Certificate.","[15.7,48.7]","Portuguese; Spanish; Arabic","English","information-technology","support-and-operations","bvaUWldrEeerkQ5vdwUqtA"]
["Google IT Support",4.0,"System Administration and IT Infrastructure Services","Google","integration-testing; cloud-computing; finger-protocol; directory-services; backup; as-a-service; troubleshooting; lightweight-directory-access-protocol; infrastructure-as-a-service; directory-access-protocol","BEGINNER",33.3,"https://www.coursera.org/learn/system-administration-it-infrastructure-services","This course will transition you from working on a single computer to an entire fleet. Systems administration is the field of IT that’s responsible for maintaining reliable computers systems in a multi-user environment. In this course, you’ll learn about the infrastructure services that keep all organizations, big and small, up and running. We’ll deep dive on cloud so that you’ll understand everything from typical cloud infrastructure setups to how to manage cloud resources. You'll also learn how to manage and configure servers and how to use industry tools to manage computers, user information, and user productivity. Finally, you’ll learn how to recover your organization’s IT infrastructure in the event of a disaster.\\n\\nBy the end of this course you’ll be able to:\\n● utilize best practices for choosing hardware, vendors, and services for your organization\\n● understand how the most common infrastructure services that keep an organization\\nrunning work, and how to manage infrastructure servers\\n● understand how to make the most of the cloud for your organization\\n● manage an organization’s computers and users using the directory services, Active\\nDirectory, and OpenLDAP\\n● choose and manage the tools that your organization will use\\n● backup your organization’s data and know how to recover your IT infrastructure in the case of\\na disaster\\n● utilize systems administration knowledge to plan and improve processes for IT environments",4.7,"https://www.coursera.org/specializations/google-it-support","This 5-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans. Learn more.\\n\\nUpon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, Hulu, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google. You can also earn a CompTIA and Google dual credential when you complete the Google certificate and pass the CompTIA A+ certification exams.\\n\\nThrough a mix of video lectures, quizzes, and hands-on labs and widgets, the program will introduce you to troubleshooting, customer service, networking, operating systems, system administration and security. You’ll hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers. By dedicating ~5 hours a week, you can complete in under six months.\\n\\nCompleting the program can earn you up to 12 college credits, the equivalent of 4 associate degree-level courses. Learn more in the FAQs below.\\n\\nIf you’re interested in building on your IT foundations, check out the Google IT Automation with Python Professional Certificate.","[9.3,61.8]","Spanish; Portuguese; Arabic","English","information-technology","support-and-operations","hBmmv1drEeerkQ5vdwUqtA"]
["Google IT Support",5.0,"IT Security: Defense against the digital dark arts","Google","integration-testing; network-security; cryptography; wireless-security; information-security; authentication; wireless; network-monitoring; encryption; computer-security","BEGINNER",21.2,"https://www.coursera.org/learn/it-security","This course covers a wide variety of IT security concepts, tools, and best practices. It introduces threats and attacks and the many ways they can show up. We’ll give you some background of encryption algorithms and how they’re used to safeguard data. Then, we’ll dive into the three As of information security: authentication, authorization, and accounting. We’ll also cover network security solutions, ranging from firewalls to Wifi encryption options. Finally, we’ll go through a case study, where we examine the security model of Chrome OS. The course is rounded out by putting all these elements together into a multi-layered, in-depth security architecture, followed by recommendations on how to integrate a culture of security into your organization or team.\\n\\nAt the end of this course, you’ll understand:\\n● how various encryption algorithms and techniques work as well as their benefits and limitations.\\n● various authentication systems and types.\\n● the difference between authentication and authorization.\\n● how to evaluate potential risks and recommend ways to reduce risk.\\n● best practices for securing a network.\\n● how to help others to grasp security concepts and protect themselves.",4.74,"https://www.coursera.org/specializations/google-it-support","This 5-course certificate, developed by Google, includes innovative curriculum designed to prepare you for an entry-level role in IT support. A job in IT can mean in-person or remote help desk work in a small business or at a global company like Google. The program is part of Grow with Google, a Google initiative to help create economic opportunities for all Americans. Learn more.\\n\\nUpon completion of the certificate, you can share your information with top employers like Cognizant, GE Digital, Hulu, Infosys, Intel, KForce, MCPc, PNC Bank, RICOH USA, Sprint, TEKSystems, Veterans United Home Loans, Walmart and their subsidiaries, and of course, Google. You can also earn a CompTIA and Google dual credential when you complete the Google certificate and pass the CompTIA A+ certification exams.\\n\\nThrough a mix of video lectures, quizzes, and hands-on labs and widgets, the program will introduce you to troubleshooting, customer service, networking, operating systems, system administration and security. You’ll hear from Googlers with unique backgrounds whose own foundation in IT support served as a jumping off point for their careers. By dedicating ~5 hours a week, you can complete in under six months.\\n\\nCompleting the program can earn you up to 12 college credits, the equivalent of 4 associate degree-level courses. Learn more in the FAQs below.\\n\\nIf you’re interested in building on your IT foundations, check out the Google IT Automation with Python Professional Certificate.","[10.7,37.6]","Portuguese; Arabic; Spanish","English","information-technology","security","quF5rVdrEeesGQokJ1NePA"]
["IBM AI Engineering",1.0,"Machine Learning with Python","IBM","python-programming-language; machine-learning; statistical-classification; computer-programming; logistic-regression; algorithms; data-clustering-algorithms; classification-algorithms; scikit-learn; machine-learning-algorithms","BEGINNER",17.6,"https://www.coursera.org/learn/machine-learning-with-python","This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. \\nIn this course, we will be reviewing two main components:\\nFirst, you will be learning about the purpose of Machine Learning and where it applies to the real world. \\nSecond, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning,  model evaluation, and Machine Learning algorithms. \\n\\nIn this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed!\\n\\nBy just putting in a few hours a week for the next few weeks, this is what you’ll get.\\n1) New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy \\n2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more.\\n3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course.",4.64,"https://www.coursera.org/specializations/ai-engineer","The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning.\\n\\nYou will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers.\\n\\nYou will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders.\\n\\nBy the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer.","[8.9,21.3]","NA","English","data-science","machine-learning","8UjeMk-mEeit4g4GsxE4dg"]
["IBM AI Engineering",1.0,"Machine Learning with Python","IBM","python-programming-language; machine-learning; statistical-classification; computer-programming; logistic-regression; algorithms; data-clustering-algorithms; classification-algorithms; scikit-learn; machine-learning-algorithms","BEGINNER",17.6,"https://www.coursera.org/learn/machine-learning-with-python","This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. \\nIn this course, we will be reviewing two main components:\\nFirst, you will be learning about the purpose of Machine Learning and where it applies to the real world. \\nSecond, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning,  model evaluation, and Machine Learning algorithms. \\n\\nIn this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed!\\n\\nBy just putting in a few hours a week for the next few weeks, this is what you’ll get.\\n1) New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy \\n2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more.\\n3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course.",4.64,"https://www.coursera.org/specializations/ai-engineer","The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning.\\n\\nYou will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers.\\n\\nYou will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders.\\n\\nBy the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer.","[8.9,21.3]","NA","English","data-science","machine-learning","8UjeMk-mEeit4g4GsxE4dg"]
["IBM AI Engineering",2.0,"Scalable Machine Learning on Big Data using Apache Spark","IBM","apache-spark; statistics; watson-computer; big-data; scalability; analytics; machine-learning; big-data-analytics; artificial-intelligence; pytorch","BEGINNER",8.6,"https://www.coursera.org/learn/machine-learning-big-data-apache-spark","This course will empower you with the skills to scale data science and machine learning (ML) tasks on Big Data sets using Apache Spark. Most real world machine learning work involves very large data sets that go beyond the CPU, memory and storage limitations of a single computer. \\n\\nApache Spark is an open source framework that leverages cluster computing and distributed storage to process extremely large data sets in an efficient and cost effective manner. Therefore an applied knowledge of working with Apache Spark is a great asset and potential differentiator for a Machine Learning engineer.\\n\\nAfter completing this course, you will be able to:\\n- gain a practical understanding of Apache Spark, and apply it to solve machine learning problems involving both small and big data\\n- understand how parallel code is written, capable of running on thousands of CPUs. \\n- make use of large scale compute clusters to apply machine learning algorithms on Petabytes of data using Apache SparkML Pipelines. \\n- eliminate out-of-memory errors generated by traditional machine learning frameworks when data doesn’t fit in a computer's main memory\\n- test thousands of different ML models in parallel to find the best performing one – a technique used by many successful Kagglers\\n- (Optional) run SQL statements on very large data sets using Apache SparkSQL and the Apache Spark DataFrame API.\\n\\nEnrol now to learn the machine learning techniques for working with Big Data that have been successfully applied by companies like Alibaba, Apple, Amazon, Baidu, eBay, IBM, NASA, Samsung, SAP, TripAdvisor, Yahoo!, Zalando and many others.\\n\\nNOTE: You will practice running machine learning tasks hands-on on an Apache Spark cluster provided by IBM at no charge during the course which you can continue to use afterwards.\\n\\nPrerequisites:\\n- basic python programming\\n- basic machine learning (optional introduction videos are provided in this course as well)\\n- basic SQL skills for optional content\\n\\nThe following courses are recommended before taking this class (unless you already have the skills)\\nhttps://www.coursera.org/learn/python-for-applied-data-science or similar\\nhttps://www.coursera.org/learn/machine-learning-with-python or similar\\nhttps://www.coursera.org/learn/sql-data-science for optional lectures",3.71,"https://www.coursera.org/specializations/ai-engineer","The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning.\\n\\nYou will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers.\\n\\nYou will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders.\\n\\nBy the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer.","[5.2,13.4]","NA","English","data-science","machine-learning","qHMf34MrEemL-gok0s2ofA"]
["IBM AI Engineering",3.0,"Introduction to Deep Learning & Neural Networks with Keras","IBM","artificial-neural-network; convolutional-neural-network; machine-learning; deep-learning; artificial-intelligence; pytorch; keras","BEGINNER",8.7,"https://www.coursera.org/learn/introduction-to-deep-learning-with-keras","Looking to start a career in Deep Learning? Look no further. This course will introduce you to the field of deep learning and help you answer many questions that people are asking nowadays, like what is deep learning, and how do deep learning models compare to artificial neural networks? You will learn about the different deep learning models and build your first deep learning model using the Keras library.\\n\\nAfter completing this course, learners will be able to:\\n•\\tdescribe what a neural network is, what a deep learning model is, and the difference between them.\\n•\\tdemonstrate an understanding of unsupervised deep learning models such as autoencoders and restricted Boltzmann machines.\\n•\\tdemonstrate an understanding of supervised deep learning models such as convolutional neural networks and recurrent networks.\\n•\\tbuild deep learning models and networks using the Keras library.",4.69,"https://www.coursera.org/specializations/ai-engineer","The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning.\\n\\nYou will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers.\\n\\nYou will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders.\\n\\nBy the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer.","[4.2,10.9]","NA","English","data-science","machine-learning","fJCXLJkeEeml5wpuotDEDA"]
["IBM AI Engineering",4.0,"Deep Neural Networks with PyTorch","IBM","artificial-neural-network; eulers-totient-function; gradient; python-programming-language; convolutional-neural-network; machine-learning; gradient-descent; deep-learning; pytorch; computer-programming","INTERMEDIATE",113.6,"https://www.coursera.org/learn/deep-neural-networks-with-pytorch","The course will teach you how to develop deep learning models using  Pytorch. The course will start with Pytorch's  tensors and Automatic differentiation package. Then each section will cover different models starting off with fundamentals such as Linear Regression, and logistic/softmax regression. Followed by  Feedforward deep neural networks, the role of different activation functions, normalization and dropout layers. Then Convolutional Neural Networks and Transfer learning will be covered. Finally, several other Deep learning methods will be covered.\\nLearning Outcomes:\\nAfter completing this course, learners will be able to:\\n•\\texplain and apply their knowledge of Deep Neural Networks and related machine learning methods\\n•\\tknow how to use Python libraries such as PyTorch  for Deep Learning applications \\n•\\tbuild Deep Neural Networks using PyTorch",4.25,"https://www.coursera.org/specializations/ai-engineer","The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning.\\n\\nYou will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers.\\n\\nYou will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders.\\n\\nBy the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer.","[18.2,200.7]","NA","English","data-science","machine-learning","sPepfpkeEemvnQ4fUTFrrA"]
["IBM AI Engineering",5.0,"Building Deep Learning Models with TensorFlow","IBM","artificial-neural-network; tensorflow; convolutional-neural-network; long-short-term-memory; machine-learning; deep-learning; artificial-intelligence; recurrent-neural-network; pytorch; autoencoder; boltzmann-machine","INTERMEDIATE",7.7,"https://www.coursera.org/learn/building-deep-learning-models-with-tensorflow","The majority of data in the world is unlabeled and unstructured. Shallow neural networks cannot easily capture relevant structure in, for instance, images, sound, and textual data. Deep networks are capable of discovering hidden structures within this type of data. In this course you’ll use TensorFlow library to apply deep learning to different data types in order to solve real world problems.\\nLearning Outcomes:\\nAfter completing this course, learners will be able to:\\n•\\texplain foundational TensorFlow concepts such as the main functions, operations and the execution pipelines. \\n•\\tdescribe how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. \\n•\\tunderstand different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders.\\n•\\tapply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained.",4.04,"https://www.coursera.org/specializations/ai-engineer","The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning.\\n\\nYou will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers.\\n\\nYou will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders.\\n\\nBy the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer.","[2,9.2]","NA","English","data-science","machine-learning","7wwl6pkeEem0LBK6SkJ7yA"]
["IBM AI Engineering",6.0,"AI Capstone Project with Deep Learning","IBM","machine-learning; deep-learning; artificial-intelligence; pytorch","INTERMEDIATE",13.1,"https://www.coursera.org/learn/ai-deep-learning-capstone","In this capstone, learners will apply their deep learning knowledge and expertise to a real world challenge.  They will use a library of their choice to develop and test a deep learning model. They will load and pre-process data for a real problem, build the model and validate it. Learners  will then present a project report to demonstrate the validity of their model and their proficiency in the field of Deep Learning.\\nLearning Outcomes:\\n•\\tdetermine what kind of deep learning method to use in which situation\\n•\\tknow how to build a deep learning model to solve a real problem \\n•\\tmaster the process of creating  a deep learning pipeline \\n•\\tapply knowledge of deep learning to improve models using real data\\n•\\tdemonstrate ability to present and communicate outcomes of deep learning projects",3.67,"https://www.coursera.org/specializations/ai-engineer","The rapid pace of innovation in Artificial Intelligence (AI) is creating enormous opportunity for transforming entire industries and our very existence. After competing this comprehensive 6 course Professional Certificate, you will get a practical understanding of Machine Learning and Deep Learning.\\n\\nYou will master fundamental concepts of Machine Learning and Deep Learning, including supervised and unsupervised learning. You will utilize popular Machine Learning and Deep Learning libraries such as SciPy, ScikitLearn, Keras, PyTorch, and Tensorflow applied to industry problems involving object recognition and Computer Vision, image and video processing, text analytics, Natural Language Processing, recommender systems, and other types of classifiers.\\n\\nYou will be able to scale Machine Learning on Big Data using Apache Spark. You will build, train, and deploy different types of Deep Architectures, including Convolutional Networks, Recurrent Networks, and Autoencoders.\\n\\nBy the end of this Professional Certificate, you will have completed several projects showcasing your proficiency in Machine Learning and Deep Learning, and become armed with skills for a career as an AI Engineer.","[3,22.5]","NA","English","data-science","machine-learning","KbAzfZkfEemG9Q7ob3lqoA"]
["IBM Applied AI",1.0,"Introduction to Artificial Intelligence (AI)","IBM","artificial-neural-network; integration-testing; adotidot-artificial-intelligence; watson-computer; artificial-intelligence-applications; machine-learning; unsupervised-learning; deep-learning; ethics-of-artificial-intelligence; artificial-intelligence","BEGINNER",8.5,"https://www.coursera.org/learn/introduction-to-ai","In this course you will learn what Artificial Intelligence (AI) is, explore use cases and applications of AI, understand AI concepts and terms like machine learning, deep learning and neural networks. You will be exposed to various issues and concerns surrounding AI such as ethics and bias, & jobs, and get advice from experts about learning and starting a career in AI.  You will also demonstrate AI in action with a mini project.\\n \\nThis course does not require any programming or computer science expertise and is designed to introduce the basics of AI to anyone whether you have a technical background or not.",4.73,"https://www.coursera.org/specializations/applied-artifical-intelligence-ibm-watson-ai","Artificial Intelligence (AI) is transforming our world. Whether you’re a student, developer, or a technology consultant, understanding AI and knowing how to create AI powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI Application Developer.\\n\\nIt will give you a firm understanding of AI, its applications, and its use cases. You will become familiar with IBM Watson AI services and APIs. Even if you have no programming background, you will be able to create AI driven chatbots as well as pick up practical Python skills to work with AI. The courses will also enable you to apply pre-built AI smarts to your products and solutions. A learner with no prior knowledge of AI will learn to design, build, and deploy AI-powered applications on the web.\\n\\nRather than create complex AI algorithms and interfaces from scratch, learners will use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, learners will complete several projects that showcase proficiency in applying AI and building AI powered solutions.","[5.1,10.8]","NA","English","data-science","machine-learning","mR7MlUaTEemuHQ4HpHozrA"]
["IBM Applied AI",2.0,"Getting Started with AI using IBM Watson","IBM","integration-testing; cloud-computing; p′′; watson-computer; chatterbots; machine-learning; deep-learning; speech-synthesis; omega-language; natural-language; artificial-intelligence","BEGINNER",9.1,"https://www.coursera.org/learn/ai-with-ibm-watson","In this course you will learn how to quickly and easily get started with Artificial Intelligence using IBM Watson. You will understand how Watson works, become familiar with its use cases and real life client examples, and be introduced to several of Watson AI services from IBM that enable anyone to easily apply AI and build smart apps. You will also work with several Watson services to demonstrate AI in action.\\n \\nThis course does not require any programming or computer science expertise and is designed for anyone whether you have a technical background or not.",4.4,"https://www.coursera.org/specializations/applied-artifical-intelligence-ibm-watson-ai","Artificial Intelligence (AI) is transforming our world. Whether you’re a student, developer, or a technology consultant, understanding AI and knowing how to create AI powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI Application Developer.\\n\\nIt will give you a firm understanding of AI, its applications, and its use cases. You will become familiar with IBM Watson AI services and APIs. Even if you have no programming background, you will be able to create AI driven chatbots as well as pick up practical Python skills to work with AI. The courses will also enable you to apply pre-built AI smarts to your products and solutions. A learner with no prior knowledge of AI will learn to design, build, and deploy AI-powered applications on the web.\\n\\nRather than create complex AI algorithms and interfaces from scratch, learners will use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, learners will complete several projects that showcase proficiency in applying AI and building AI powered solutions.","[4.5,14.4]","NA","English","data-science","machine-learning","GdR9t4MnEem1fhKdUV_ohA"]
["IBM Applied AI",3.0,"Building AI Powered Chatbots Without Programming","IBM","integration-testing; wordpress; cloud-computing; watson-computer; chatterbots; application-programming-interfaces; natural-language; computer-programming; artificial-intelligence","BEGINNER",15.5,"https://www.coursera.org/learn/building-ai-powered-chatbots","This course will teach you how to create useful chatbots without the need to write any code.\\n\\nLeveraging IBM Watson's Natural Language Processing capabilities, you'll learn how to plan, implement, test, and deploy chatbots that delight your users, rather than frustrate them.\\n\\nTrue to our promise of not requiring any code, you'll learn how to visually create chatbots with Watson Assistant (formerly Watson Conversation) and how to deploy them on your own website through a handy WordPress plugin. Don't have a website? No worries, one will be provided to you.\\n\\nChatbots are a hot topic in our industry and are about to go big. New jobs requiring this specific skill are being added every day, consultants demand premium rates, and the interest in chatbots is quickly exploding.\\n\\nGartner predicts that by 2020, 85% of customer interactions with the enterprise will be through automated means (that's chatbots and related technologies).\\n\\nHere is your chance to learn this highly in demand set of skills with a gentle introduction to the topic that leaves no stone unturned.",4.73,"https://www.coursera.org/specializations/applied-artifical-intelligence-ibm-watson-ai","Artificial Intelligence (AI) is transforming our world. Whether you’re a student, developer, or a technology consultant, understanding AI and knowing how to create AI powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI Application Developer.\\n\\nIt will give you a firm understanding of AI, its applications, and its use cases. You will become familiar with IBM Watson AI services and APIs. Even if you have no programming background, you will be able to create AI driven chatbots as well as pick up practical Python skills to work with AI. The courses will also enable you to apply pre-built AI smarts to your products and solutions. A learner with no prior knowledge of AI will learn to design, build, and deploy AI-powered applications on the web.\\n\\nRather than create complex AI algorithms and interfaces from scratch, learners will use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, learners will complete several projects that showcase proficiency in applying AI and building AI powered solutions.","[3.9,26.6]","NA","English","computer-science","design-and-product","MQLdHLd0EeeChhJXz190Vg"]
["IBM Applied AI",4.0,"Python for Data Science and AI","IBM","python-programming-language; data-analysis; data-segment; python-syntax-and-semantics; computer-programming; syntax; numpy; pandas; matplotlib; python-libraries","BEGINNER",27.2,"https://www.coursera.org/learn/python-for-applied-data-science-ai","This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.\\n\\nModule 1 - Python Basics\\no\\tYour first program\\no\\tTypes\\no\\tExpressions and Variables\\no\\tString Operations\\n\\nModule 2 - Python Data Structures\\no\\tLists and Tuples\\no\\tSets\\no\\tDictionaries\\n\\nModule 3 - Python Programming Fundamentals\\no\\tConditions and Branching\\no\\tLoops\\no\\tFunctions\\no\\tObjects and Classes\\n\\nModule 4 - Working with Data in Python\\no\\tReading files with open\\no\\tWriting files with open\\no\\tLoading data with Pandas\\no\\tNumpy \\n\\nFinally, you will create a project to test your skills.",4.5,"https://www.coursera.org/specializations/applied-artifical-intelligence-ibm-watson-ai","Artificial Intelligence (AI) is transforming our world. Whether you’re a student, developer, or a technology consultant, understanding AI and knowing how to create AI powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI Application Developer.\\n\\nIt will give you a firm understanding of AI, its applications, and its use cases. You will become familiar with IBM Watson AI services and APIs. Even if you have no programming background, you will be able to create AI driven chatbots as well as pick up practical Python skills to work with AI. The courses will also enable you to apply pre-built AI smarts to your products and solutions. A learner with no prior knowledge of AI will learn to design, build, and deploy AI-powered applications on the web.\\n\\nRather than create complex AI algorithms and interfaces from scratch, learners will use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, learners will complete several projects that showcase proficiency in applying AI and building AI powered solutions.","[6.1,50.8]","Korean; German","English","data-science","data-analysis","ejOz7RDUEei99hK0xs-tsg"]
["IBM Applied AI",4.0,"Python for Data Science and AI","IBM","python-programming-language; data-analysis; data-segment; python-syntax-and-semantics; computer-programming; syntax; numpy; pandas; matplotlib; python-libraries","BEGINNER",27.2,"https://www.coursera.org/learn/python-for-applied-data-science-ai","This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.\\n\\nModule 1 - Python Basics\\no\\tYour first program\\no\\tTypes\\no\\tExpressions and Variables\\no\\tString Operations\\n\\nModule 2 - Python Data Structures\\no\\tLists and Tuples\\no\\tSets\\no\\tDictionaries\\n\\nModule 3 - Python Programming Fundamentals\\no\\tConditions and Branching\\no\\tLoops\\no\\tFunctions\\no\\tObjects and Classes\\n\\nModule 4 - Working with Data in Python\\no\\tReading files with open\\no\\tWriting files with open\\no\\tLoading data with Pandas\\no\\tNumpy \\n\\nFinally, you will create a project to test your skills.",4.5,"https://www.coursera.org/specializations/applied-artifical-intelligence-ibm-watson-ai","Artificial Intelligence (AI) is transforming our world. Whether you’re a student, developer, or a technology consultant, understanding AI and knowing how to create AI powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI Application Developer.\\n\\nIt will give you a firm understanding of AI, its applications, and its use cases. You will become familiar with IBM Watson AI services and APIs. Even if you have no programming background, you will be able to create AI driven chatbots as well as pick up practical Python skills to work with AI. The courses will also enable you to apply pre-built AI smarts to your products and solutions. A learner with no prior knowledge of AI will learn to design, build, and deploy AI-powered applications on the web.\\n\\nRather than create complex AI algorithms and interfaces from scratch, learners will use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, learners will complete several projects that showcase proficiency in applying AI and building AI powered solutions.","[6.1,50.8]","Korean; German","English","data-science","data-analysis","ejOz7RDUEei99hK0xs-tsg"]
["IBM Applied AI",5.0,"Building AI Applications with Watson APIs","IBM","python-programming-language; watson-computer; artificial-intelligence-applications; chatterbots; application-programming-interfaces; artificial-intelligence; computer-programming; facebook","BEGINNER",9.4,"https://www.coursera.org/learn/building-ai-applications","A learner will be able to write an application that leverages multiple Watson AI services (Discovery, Speech to Text, Assistant, and Text to Speech). By the end of the course, they’ll learn best practices of combining Watson services, and how they can build interactive information retrieval systems with Discovery + Assistant.",3.93,"https://www.coursera.org/specializations/applied-artifical-intelligence-ibm-watson-ai","Artificial Intelligence (AI) is transforming our world. Whether you’re a student, developer, or a technology consultant, understanding AI and knowing how to create AI powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI Application Developer.\\n\\nIt will give you a firm understanding of AI, its applications, and its use cases. You will become familiar with IBM Watson AI services and APIs. Even if you have no programming background, you will be able to create AI driven chatbots as well as pick up practical Python skills to work with AI. The courses will also enable you to apply pre-built AI smarts to your products and solutions. A learner with no prior knowledge of AI will learn to design, build, and deploy AI-powered applications on the web.\\n\\nRather than create complex AI algorithms and interfaces from scratch, learners will use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, learners will complete several projects that showcase proficiency in applying AI and building AI powered solutions.","[5.9,13.3]","NA","English","data-science","machine-learning","eym3qXsSEemyrBI9Y3qCUg"]
["IBM Applied AI",6.0,"Introduction to Computer Vision with Watson and OpenCV","IBM","python-programming-language; computer-program; watson-computer; statistical-classification; programming-language; computer-vision; artificial-intelligence; computer-programming; image-processing; opencv","BEGINNER",13.3,"https://www.coursera.org/learn/introduction-computer-vision-watson-opencv","Computer Vision is one of the most exciting fields in Machine Learning and AI. It has applications in many industries such as self-driving cars, robotics, augmented reality, face detection in law enforcement agencies. In this beginner-friendly course you will understand about computer vision, and will learn about its various applications across many industries.\\n\\nAs part of this course you will utilize Python, Watson AI, and OpenCV to process images and interact with image classification models. You will also build, train, and test your own custom image classifiers. \\n\\nThis is a hands-on course and involves several labs and exercises. All the labs will be performed on the Cloud and you will be provided access to a Cloud environment completely free of charge. At the end of the course, you will create your own computer vision web app and deploy it to the Cloud.\\n\\nThis course does not require any prior Machine Learning or Computer Vision experience, however some knowledge of Python programming language is necessary.",4.12,"https://www.coursera.org/specializations/applied-artifical-intelligence-ibm-watson-ai","Artificial Intelligence (AI) is transforming our world. Whether you’re a student, developer, or a technology consultant, understanding AI and knowing how to create AI powered applications can give you an edge in your career. This Professional Certificate is designed to arm you with the skills to work as an AI Application Developer.\\n\\nIt will give you a firm understanding of AI, its applications, and its use cases. You will become familiar with IBM Watson AI services and APIs. Even if you have no programming background, you will be able to create AI driven chatbots as well as pick up practical Python skills to work with AI. The courses will also enable you to apply pre-built AI smarts to your products and solutions. A learner with no prior knowledge of AI will learn to design, build, and deploy AI-powered applications on the web.\\n\\nRather than create complex AI algorithms and interfaces from scratch, learners will use IBM Watson AI services and APIs to create smart applications with minimal coding. By the end of this Professional Certificate, learners will complete several projects that showcase proficiency in applying AI and building AI powered solutions.","[7,16.8]","NA","English","data-science","machine-learning","NnsrLYMpEembjg5W4rOJ1g"]
["IBM Data Science",1.0,"What is Data Science?","IBM","data-uri-scheme; integration-testing; data-analysis; data-reporting; data-mining; data-segment; machine-learning; big-data; regression-analysis; data-science","BEGINNER",8.9,"https://www.coursera.org/learn/what-is-datascience","The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.",4.62,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[4,12.3]","Arabic","English","data-science","data-analysis","r0GnHOZaEees-Q6jQMxlrg"]
["IBM Data Science",2.0,"Open Source tools for Data Science","IBM","python-programming-language; data-analysis; apache-spark; cloud-computing; watson-computer; data-segment; ipython; rstudio; computer-programming; data-science","BEGINNER",8.0,"https://www.coursera.org/learn/open-source-tools-for-data-science","What are some of the most popular data science tools, how do you use them, and what are their features? In this course, you'll learn about Jupyter Notebooks, RStudio IDE, Apache Zeppelin and Data Science Experience. You will learn about what each tool is used for, what programming languages they can execute, their features and limitations. With the tools hosted in the cloud on Cognitive Class Labs, you will be able to test each tool and follow instructions to run simple code in Python, R or Scala. To end the course, you will create a final project with a Jupyter Notebook on IBM Data Science Experience and demonstrate your proficiency preparing a notebook, writing Markdown, and sharing your work with your peers.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.",4.51,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[3.8,11.6]","NA","English","data-science","data-analysis","oCBU5_VYEeeBQA7SG0nILA"]
["IBM Data Science",3.0,"Data Science Methodology","IBM","data-uri-scheme; data-modeling; data-analysis; data-mining; data-evaluation; data-segment; analytics; data-model; data-collection; data-science","BEGINNER",8.6,"https://www.coursera.org/learn/data-science-methodology","Despite the recent increase in computing power and access to data over the last couple of decades, our ability to use the data within the decision making process is either lost or not maximized at all too often, we don't have a solid understanding of the questions being asked and how to apply the data correctly to the problem at hand.\\n\\nThis course has one purpose, and that is to share a methodology that can be used within data science, to ensure that the data used in problem solving is relevant and properly manipulated to address the question at hand.\\n\\nAccordingly, in this course, you will learn:\\n    - The major steps involved in tackling a data science problem.\\n    - The major steps involved in practicing data science, from forming a concrete business or research problem, to collecting and analyzing data, to building a model, and understanding the feedback after model deployment.\\n    - How data scientists think!\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.",4.55,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[3.6,12.2]","NA","English","data-science","data-analysis","OFt7o_8IEee1YxLCJ0cSDA"]
["IBM Data Science",4.0,"Python for Data Science and AI","IBM","python-programming-language; data-analysis; data-segment; python-syntax-and-semantics; computer-programming; syntax; numpy; pandas; matplotlib; python-libraries","BEGINNER",27.2,"https://www.coursera.org/learn/python-for-applied-data-science-ai","This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.\\n\\nModule 1 - Python Basics\\no\\tYour first program\\no\\tTypes\\no\\tExpressions and Variables\\no\\tString Operations\\n\\nModule 2 - Python Data Structures\\no\\tLists and Tuples\\no\\tSets\\no\\tDictionaries\\n\\nModule 3 - Python Programming Fundamentals\\no\\tConditions and Branching\\no\\tLoops\\no\\tFunctions\\no\\tObjects and Classes\\n\\nModule 4 - Working with Data in Python\\no\\tReading files with open\\no\\tWriting files with open\\no\\tLoading data with Pandas\\no\\tNumpy \\n\\nFinally, you will create a project to test your skills.",4.5,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[6.1,50.8]","Korean; German","English","data-science","data-analysis","ejOz7RDUEei99hK0xs-tsg"]
["IBM Data Science",4.0,"Python for Data Science and AI","IBM","python-programming-language; data-analysis; data-segment; python-syntax-and-semantics; computer-programming; syntax; numpy; pandas; matplotlib; python-libraries","BEGINNER",27.2,"https://www.coursera.org/learn/python-for-applied-data-science-ai","This introduction to Python will kickstart your learning of Python for data science, as well as programming in general. This beginner-friendly Python course will take you from zero to programming in Python in a matter of hours.\\n\\nModule 1 - Python Basics\\no\\tYour first program\\no\\tTypes\\no\\tExpressions and Variables\\no\\tString Operations\\n\\nModule 2 - Python Data Structures\\no\\tLists and Tuples\\no\\tSets\\no\\tDictionaries\\n\\nModule 3 - Python Programming Fundamentals\\no\\tConditions and Branching\\no\\tLoops\\no\\tFunctions\\no\\tObjects and Classes\\n\\nModule 4 - Working with Data in Python\\no\\tReading files with open\\no\\tWriting files with open\\no\\tLoading data with Pandas\\no\\tNumpy \\n\\nFinally, you will create a project to test your skills.",4.5,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[6.1,50.8]","Korean; German","English","data-science","data-analysis","ejOz7RDUEei99hK0xs-tsg"]
["IBM Data Science",5.0,"Databases and SQL for Data Science","IBM","sql; join-sql; ibm-db2; python-programming-language; relational-database; database; ipython; pandas; computer-programming; articles-with-example-sql-code","BEGINNER",12.5,"https://www.coursera.org/learn/sql-data-science","Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist.\\n\\nThe purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment.  \\n\\nThe emphasis in this course is on hands-on and practical learning . As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python.\\n\\nNo prior knowledge of databases, SQL, Python, or programming is required.\\n\\nAnyone can audit this course at no-charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.",4.59,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[6.8,16.7]","Arabic; Korean","English","data-science","data-analysis","GDQMSxDWEeitFhJL4G-A_g"]
["IBM Data Science",5.0,"Databases and SQL for Data Science","IBM","sql; join-sql; ibm-db2; python-programming-language; relational-database; database; ipython; pandas; computer-programming; articles-with-example-sql-code","BEGINNER",12.5,"https://www.coursera.org/learn/sql-data-science","Much of the world's data resides in databases. SQL (or Structured Query Language) is a powerful language which is used for communicating with and extracting data from databases. A working knowledge of databases and SQL is a must if you want to become a data scientist.\\n\\nThe purpose of this course is to introduce relational database concepts and help you learn and apply foundational knowledge of the SQL language. It is also intended to get you started with performing SQL access in a data science environment.  \\n\\nThe emphasis in this course is on hands-on and practical learning . As such, you will work with real databases, real data science tools, and real-world datasets. You will create a database instance in the cloud. Through a series of hands-on labs you will practice building and running SQL queries. You will also learn how to access databases from Jupyter notebooks using SQL and Python.\\n\\nNo prior knowledge of databases, SQL, Python, or programming is required.\\n\\nAnyone can audit this course at no-charge. If you choose to take this course and earn the Coursera course certificate, you can also earn an IBM digital badge upon successful completion of the course.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.",4.59,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[6.8,16.7]","Korean; Arabic","English","data-science","data-analysis","GDQMSxDWEeitFhJL4G-A_g"]
["IBM Data Science",6.0,"Data Analysis with Python","IBM","python-programming-language; linear-regression; data-uri-scheme; data-wrangling; data-analysis; regression-analysis; data-segment; data-model; computer-programming; linearity","BEGINNER",49.5,"https://www.coursera.org/learn/data-analysis-with-python","Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!\\n\\nTopics covered:\\n\\n1) Importing Datasets\\n2) Cleaning the Data\\n3) Data frame manipulation\\n4) Summarizing the Data\\n5) Building machine learning Regression models\\n6) Building data pipelines\\n\\n Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts:\\n\\nData Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.  \\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.",4.62,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[6.9,91.4]","Korean; Vietnamese; Arabic","English","data-science","data-analysis","fYuElDEgEeiCvhLLCIZW_A"]
["IBM Data Science",6.0,"Data Analysis with Python","IBM","python-programming-language; linear-regression; data-uri-scheme; data-wrangling; data-analysis; regression-analysis; data-segment; data-model; computer-programming; linearity","BEGINNER",49.5,"https://www.coursera.org/learn/data-analysis-with-python","Learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!\\n\\nTopics covered:\\n\\n1) Importing Datasets\\n2) Cleaning the Data\\n3) Data frame manipulation\\n4) Summarizing the Data\\n5) Building machine learning Regression models\\n6) Building data pipelines\\n\\n Data Analysis with Python will be delivered through lecture, lab, and assignments. It includes following parts:\\n\\nData Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge.  \\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.",4.62,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[6.9,91.4]","Korean; Vietnamese; Arabic","English","data-science","data-analysis","fYuElDEgEeiCvhLLCIZW_A"]
["IBM Data Science",7.0,"Data Visualization with Python","IBM","visualization-graphic; python-programming-language; data-segment; chart; computer-programming; map; data-virtualization; choropleth-map; pandas; matplotlib","BEGINNER",10.1,"https://www.coursera.org/learn/python-for-data-visualization","\"A picture is worth a thousand words\". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.\\n\\nOne of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions.\\n\\nThe main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.",4.47,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[4.8,15]","Vietnamese","English","data-science","data-analysis","ORAIlTLtEeizIBKbQHnlqg"]
["IBM Data Science",7.0,"Data Visualization with Python","IBM","visualization-graphic; python-programming-language; data-segment; chart; computer-programming; map; data-virtualization; choropleth-map; pandas; matplotlib","BEGINNER",10.1,"https://www.coursera.org/learn/python-for-data-visualization","\"A picture is worth a thousand words\". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data.\\n\\nOne of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions.\\n\\nThe main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.",4.47,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[4.8,15]","Vietnamese","English","data-science","data-analysis","ORAIlTLtEeizIBKbQHnlqg"]
["IBM Data Science",8.0,"Machine Learning with Python","IBM","python-programming-language; machine-learning; statistical-classification; computer-programming; logistic-regression; algorithms; data-clustering-algorithms; classification-algorithms; scikit-learn; machine-learning-algorithms","BEGINNER",17.6,"https://www.coursera.org/learn/machine-learning-with-python","This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. \\nIn this course, we will be reviewing two main components:\\nFirst, you will be learning about the purpose of Machine Learning and where it applies to the real world. \\nSecond, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning,  model evaluation, and Machine Learning algorithms. \\n\\nIn this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed!\\n\\nBy just putting in a few hours a week for the next few weeks, this is what you’ll get.\\n1) New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy \\n2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more.\\n3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course.",4.64,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[8.9,21.3]","NA","English","data-science","machine-learning","8UjeMk-mEeit4g4GsxE4dg"]
["IBM Data Science",8.0,"Machine Learning with Python","IBM","python-programming-language; machine-learning; statistical-classification; computer-programming; logistic-regression; algorithms; data-clustering-algorithms; classification-algorithms; scikit-learn; machine-learning-algorithms","BEGINNER",17.6,"https://www.coursera.org/learn/machine-learning-with-python","This course dives into the basics of machine learning using an approachable, and well-known programming language, Python. \\nIn this course, we will be reviewing two main components:\\nFirst, you will be learning about the purpose of Machine Learning and where it applies to the real world. \\nSecond, you will get a general overview of Machine Learning topics such as supervised vs unsupervised learning,  model evaluation, and Machine Learning algorithms. \\n\\nIn this course, you practice with real-life examples of Machine learning and see how it affects society in ways you may not have guessed!\\n\\nBy just putting in a few hours a week for the next few weeks, this is what you’ll get.\\n1) New skills to add to your resume, such as regression, classification, clustering, sci-kit learn and SciPy \\n2) New projects that you can add to your portfolio, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines, and many more.\\n3) And a certificate in machine learning to prove your competency, and share it anywhere you like online or offline, such as LinkedIn profiles and social media.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course.",4.64,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[8.9,21.3]","NA","English","data-science","machine-learning","8UjeMk-mEeit4g4GsxE4dg"]
["IBM Data Science",9.0,"Applied Data Science Capstone","IBM","foursquare; data-analysis; python-programming-language; data-segment; cluster-analysis; machine-learning; k-means-clustering; algorithms; data-clustering-algorithms; computer-programming","BEGINNER",13.7,"https://www.coursera.org/learn/applied-data-science-capstone","This capstone project course will give you a taste of what data scientists go through in real life when working with data. \\n\\nYou will learn about location data and different location data providers, such as Foursquare. You will learn how to make RESTful API calls to the Foursquare API to retrieve data about venues in different neighborhoods around the world. You will also learn how to be creative in situations where data are not readily available by scraping web data and parsing HTML code. You will utilize Python and its pandas library to manipulate data, which will help you refine your skills for exploring and analyzing data. \\n\\nFinally, you will be required to use the Folium library to great maps of geospatial data and to communicate your results and findings.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course.  \\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.",4.63,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[7,15.8]","NA","English","data-science","data-analysis","uZZCOk-0Eei5shJ0GHcv-g"]
["IBM Data Science",9.0,"Applied Data Science Capstone","IBM","foursquare; data-analysis; python-programming-language; data-segment; cluster-analysis; machine-learning; k-means-clustering; algorithms; data-clustering-algorithms; computer-programming","BEGINNER",13.7,"https://www.coursera.org/learn/applied-data-science-capstone","This capstone project course will give you a taste of what data scientists go through in real life when working with data. \\n\\nYou will learn about location data and different location data providers, such as Foursquare. You will learn how to make RESTful API calls to the Foursquare API to retrieve data about venues in different neighborhoods around the world. You will also learn how to be creative in situations where data are not readily available by scraping web data and parsing HTML code. You will utilize Python and its pandas library to manipulate data, which will help you refine your skills for exploring and analyzing data. \\n\\nFinally, you will be required to use the Folium library to great maps of geospatial data and to communicate your results and findings.\\n\\nIf you choose to take this course and earn the Coursera course certificate, you will also earn an IBM digital badge upon successful completion of the course.  \\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.",4.63,"https://www.coursera.org/specializations/ibm-data-science","Data Science has been ranked as one of the hottest professions and the demand for data practitioners is booming. This Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.\\n\\nThis program consists of 9 courses providing you with latest job-ready skills and techniques covering a wide array of data science topics including: open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning. You will practice hands-on in the IBM Cloud using real data science tools and real-world data sets.\\n\\nIt is a myth that to become a data scientist you need a Ph.D. This Professional Certificate is suitable for anyone who has some computer skills and a passion for self-learning. No prior computer science or programming knowledge is necessary. We start small, re-enforce applied learning, and build up to more complex topics.\\n\\nUpon successfully completing these courses you will have done several hands-on assignments and built a portfolio of data science projects to provide you with the confidence to plunge into an exciting profession in Data Science. In addition to earning a Professional Certificate from Coursera, you will also receive a digital Badge from IBM recognizing your proficiency in Data Science.\\n\\nLIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate.","[7,15.8]","NA","English","data-science","data-analysis","uZZCOk-0Eei5shJ0GHcv-g"]
["IBM z/OS Mainframe Practitioner",1.0,"Introduction to Enterprise Computing","IBM","booting; cryptography; access-control; ibm-parallel-sysplex; acf2; operating-system; millicode; computer-architecture; resource-access-control-facility; mainframe; mainframe-systems","INTERMEDIATE",7.5,"https://www.coursera.org/learn/introduction-enterprise-computing","Large Scale Enterprise Computing powers all major transactions, and the Mainframe is responsible for 87% of all credit card transactions and enables 71% of all Fortune 500 companies. Mainframes are fundamental on how we do business, and IBM Z is the only production mainframe sold today. Virtually everyone depends on it. This is your introduction to the hardware, operating systems, security, and features that make this possible.\\n\\nOn successful completion of this course, learners are eligible to earn their Introduction to Enterprise Computing badge. More information can be found here: https://www.youracclaim.com/org/ibm/badge/introduction-to-enterprise-computing",4.78,"https://www.coursera.org/specializations/ibm-z-mainframe","This Professional Certificate is intended to provide the foundational skills required to launch a career in the enterprise platform that powers over 68% of worldwide transactions. Companies around the world are searching for these skills to run their critical system workloads. In this series of courses, the learner will be introduced to various operating systems, mainframe applications, and get real-time hands-on experience on an IBM Z server. The skills acquired on completion of this Professional Certificate allows the learner to pursue a career as a mainframe application developer, system programmer, system administrator, or a DBA Practitioner.\\n\\nThere are three courses in this specialisation, please be sure to complete all three in order to maximise your time and effort.\\n\\nCourse 1: Introduction to Enterprise Computing\\n\\nCourse 2 : Getting Started on Mainframe with z/OS Commands and Panels\\n\\nCourse 3 : Basic System Programming on IBM Z\\n\\nOn successful completion of this professional certificate, the learners will be eligible to claim the IBM z/OS Mainframe Practitioner Professional Certificate badge. More information can be found here","[4.5,9.6]","NA","English","information-technology","cloud-computing","j-zL7CvgEemV_A4t3mTtWg"]
["IBM z/OS Mainframe Practitioner",2.0,"Getting Started on Mainframe with z/OS Commands and Panels","IBM","ispf; mainframe","ADVANCED",6.1,"https://www.coursera.org/learn/z-commands-and-panels","Getting Started with the IBM Mainframe with z/OS Commands and Panels is a mostly hands-on in an IBM Mainframe z/OS Environment. A total of seven labs will provide live access to an IBM Z server. The labs are designed to teach you the fundamental practical skills to navigate and work in a z/OS environment. This includes the use of ISPF/PDF dialogs, and TSO/E commands. \\n\\nOn successful completion of this course, the learners are eligible to claim the Getting Started on Mainframe with z/OS Commands and Panels badge. More information can be found here:\\nhttps://www.youracclaim.com/org/ibm/badge/getting-started-on-mainframe-with-z-os-commands-and-panels",4.71,"https://www.coursera.org/specializations/ibm-z-mainframe","This Professional Certificate is intended to provide the foundational skills required to launch a career in the enterprise platform that powers over 68% of worldwide transactions. Companies around the world are searching for these skills to run their critical system workloads. In this series of courses, the learner will be introduced to various operating systems, mainframe applications, and get real-time hands-on experience on an IBM Z server. The skills acquired on completion of this Professional Certificate allows the learner to pursue a career as a mainframe application developer, system programmer, system administrator, or a DBA Practitioner.\\n\\nThere are three courses in this specialisation, please be sure to complete all three in order to maximise your time and effort.\\n\\nCourse 1: Introduction to Enterprise Computing\\n\\nCourse 2 : Getting Started on Mainframe with z/OS Commands and Panels\\n\\nCourse 3 : Basic System Programming on IBM Z\\n\\nOn successful completion of this professional certificate, the learners will be eligible to claim the IBM z/OS Mainframe Practitioner Professional Certificate badge. More information can be found here","[3.4,8.6]","NA","English","information-technology","data-management","QFHWW7RxEemJ-g47kaCA3A"]
["IBM z/OS Mainframe Practitioner",3.0,"Basic System Programming on IBM Z","IBM","unix; mainframe; unix-system-services; virtual-storage-access-method","ADVANCED",6.7,"https://www.coursera.org/learn/system-programming","The foundational knowledge for the position of an IBM z/OS System Programmer and System Administrator begins with this third and final course in the three course professional certificate track. This course provides hands-on labs to everyday z/OS tasks with JCL, JES, ISHELL and HFS, and z/OSMF. Topics covered include VSAM, z/OS System Libraries, the Language Environment, Generation Data Groups, RAIM, DB2, UNIX System Services, and USS File System.\\n\\nOn successful completion of this course, the learners are eligible to claim the Basic System Programming on IBM Z badge. More information can be found here : \\nhttps://www.youracclaim.com/org/ibm/badge/basic-system-programming-on-ibm-z",4.79,"https://www.coursera.org/specializations/ibm-z-mainframe","This Professional Certificate is intended to provide the foundational skills required to launch a career in the enterprise platform that powers over 68% of worldwide transactions. Companies around the world are searching for these skills to run their critical system workloads. In this series of courses, the learner will be introduced to various operating systems, mainframe applications, and get real-time hands-on experience on an IBM Z server. The skills acquired on completion of this Professional Certificate allows the learner to pursue a career as a mainframe application developer, system programmer, system administrator, or a DBA Practitioner.\\n\\nThere are three courses in this specialisation, please be sure to complete all three in order to maximise your time and effort.\\n\\nCourse 1: Introduction to Enterprise Computing\\n\\nCourse 2 : Getting Started on Mainframe with z/OS Commands and Panels\\n\\nCourse 3 : Basic System Programming on IBM Z\\n\\nOn successful completion of this professional certificate, the learners will be eligible to claim the IBM z/OS Mainframe Practitioner Professional Certificate badge. More information can be found here","[3.5,9.2]","NA","English","information-technology","support-and-operations","Lc0gdbRyEem-Ug7Y3cHV4A"]
["Non Specialization","Non Specialization","IBM Customer Engagement Specialist Professional Certificate","IBM","problem-solving; management; customer-support; environment-variable; communication; customer-service; customer-engagement; time-management; customer; rapport","ADVANCED",30.0,"https://www.coursera.org/learn/ibm-customer-engagement-specialist","There are a growing number of exciting, well-paying jobs in today’s tech industry that do not require a traditional college degree. And one of the hottest areas with high demand is in IT customer service and support. It's a perfect entry point to start your career in IT with a multitude of job openings ranging from onsite or remote help desk work to customer care or client support. We can help you get there with the IBM Customer Engagement Specialist Certificate Program.  \\n  \\nWe will help you to build the knowledge and develop the skills needed to be a successful Customer engagement specialist:  \\n• Communication Skills which focus on clear concise communication and listening.  \\n•  Appropriate empathetic behavior such as such as patience, curiosity and willingness to help.   \\n• Problem solving to research an issue and help determine an appropriate resolution.  \\n• Process adherence to ensure the proper flow and Service Level Agreements are met.   \\n  \\nThe course is divided into 4 modules and you will be assessed and awarded badges along the way!  Earn the IBM Soft Skills badge after completing the Communication Skills and Personality modules and the IBM Call Management badge after completing the Problem Solving and Process Control modules.  The course also includes interactive training including labs to reinforce all of the components above.    \\n  \\nAt the conclusion of the course, you will receive an email notification from Acclaim with instructions for claiming the badge.  Upon accepting your badge, it will be necessary to create a user account on Acclaim, where you will have the ability to manage your badge(s), opt-in to other communications and features, as well as take advantage of features allowing you to share your badge to social media and other destinations.\\n\\nWant to see if this is a good career fit for you?  IBM is collaborating with MyInnerGenius, one of the world's leading assessment companies, to help you find out which careers in IT you will love -- careers that are a great match for you -- regardless of your education or experience -- even if you’ve never considered a role in IT. \\n \\nIn less than an hour, you will receive targeted recommendations for hot roles where you will excel and everything you need to get started. You can even earn IBM Digital Badges to show the world your skills!\\n\\nFind out more http://ibm.myinnergenius.com/",4.79,"Non Specialization","Non Specialization","[12.4,55.1]","NA","English","information-technology","support-and-operations","kK2IsV-JEei_nBLwczMEKA"]
["SAS Programmer",1.0,"Getting Started with SAS Programming","SAS","data-uri-scheme; sql; computer-program; data-analysis; statistics; data-segment; sas-language; omega-language; prostarc; computer-programming","BEGINNER",24.7,"https://www.coursera.org/learn/sas-programming-basics","This course is for users who want to learn how to write SAS programs to access, explore, prepare, and analyze data. It is the entry point to learning SAS programming for data science, machine learning, and artificial intelligence. It is a prerequisite to many other SAS courses.\\n\\nBy the end of this course, you will know how to use SAS Studio to write and submit SAS programs that access SAS, Microsoft Excel, and text data. You will know how to explore and validate data, prepare data by subsetting rows and computing new columns, analyze and report on data, export data and results to other formats, use SQL in SAS to query and join tables.\\n\\nPrerequisites:\\nLearners should have experience using computer software. Specifically, you should be able to understand file structures and system commands on your operating systems and access data files on your operating systems. No prior SAS experience is needed.",4.87,"https://www.coursera.org/specializations/sas-programming","When you complete the SAS® Base Programming courses, you will have demonstrated skills in manipulating and transforming data, combining SAS data sets, creating basic detail and summary reports using SAS procedures and identifying and correcting data, syntax and programming logic errors. These skills prepare you for the SAS® Base Programmer certification exam.","[15,33.6]","NA","English","data-science","data-analysis","Tx7bH4XkEeiLtQ4wBPSBfA"]
["SAS Programmer",2.0,"Doing More with SAS Programming","SAS","transpose; eulers-totient-function; memoization; data-segment; data-manipulation; sas-language; for-loop; omega-language","INTERMEDIATE",24.4,"https://www.coursera.org/learn/sas-programming-advanced","This course is for business analysts and SAS programmers who want to learn data manipulation techniques using the SAS DATA step and procedures to access, transform, and summarize data. The course builds on the concepts that are presented in the Getting Started with SAS Programming course and is not recommended for beginning SAS software users.\\n\\nIn this course you learn how to understand and control DATA step processing, create an accumulating column and process data in groups, manipulate data with functions, convert column type, create custom formats, concatenate and merge tables, process repetitive code, and restructure tables. This course addresses Base SAS software.\\n\\nBefore attending this course, you should be able to write DATA step code to access data, subset rows and columns, compute new columns, and process data conditionally. You should also be able to sort tables using the SORT procedure and\\napply SAS formats.",4.81,"https://www.coursera.org/specializations/sas-programming","When you complete the SAS® Base Programming courses, you will have demonstrated skills in manipulating and transforming data, combining SAS data sets, creating basic detail and summary reports using SAS procedures and identifying and correcting data, syntax and programming logic errors. These skills prepare you for the SAS® Base Programmer certification exam.","[14.4,30.8]","NA","English","data-science","data-analysis","wR2dUbELEeigbxJYe_5CzA"]
["SAS Programmer",3.0,"Practical SAS Programming and Certification Review","SAS","operational-data-store; data-analysis; average; data-segment; sas-language; prostarc; omega-language","ADVANCED",36.9,"https://www.coursera.org/learn/sas-programming-certification-review","In this course you have the opportunity to use the skills you acquired in the two SAS programming courses to solve realistic problems. This course is also designed to give you a thorough review of SAS programming concepts so you are prepared to take the SAS Certified Specialist: Base Programming Using SAS 9.4 Exam.",4.76,"https://www.coursera.org/specializations/sas-programming","When you complete the SAS® Base Programming courses, you will have demonstrated skills in manipulating and transforming data, combining SAS data sets, creating basic detail and summary reports using SAS procedures and identifying and correcting data, syntax and programming logic errors. These skills prepare you for the SAS® Base Programmer certification exam.","[14.5,71]","NA","English","data-science","data-analysis","FEfS7bzUEeiHWw5HHNMWFg"]
["SAS Visual Business Analytics",1.0,"Getting Started with SAS Visual Analytics","SAS","data-mining","BEGINNER",7.2,"https://www.coursera.org/learn/preparing-data-sas-va","In this course, you learn more about SAS Visual Analytics and the SAS Viya platform, how to access and investigate data in SAS Visual Analytics, and how to prepare data for analysis using SAS Data Studio.",4.68,"https://www.coursera.org/specializations/sas-visual-business-analytics","Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.","[3.1,8.2]","NA","English","data-science","data-analysis","4HXQKO-aEemjIRKsAX_xWg"]
["SAS Visual Business Analytics",2.0,"Data Analysis and Reporting in SAS Visual Analytics","SAS","NA","BEGINNER",7.7,"https://www.coursera.org/learn/data-analysis-reporting-sas-va","In this course, you learn how to use SAS Visual Analytics on SAS Viya to modify data for analysis, perform data discovery and analysis, and create interactive reports.",4.89,"https://www.coursera.org/specializations/sas-visual-business-analytics","Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.","[2.5,10.9]","NA","English","data-science","data-analysis","EVBf7e-bEemjIRKsAX_xWg"]
["SAS Visual Business Analytics",3.0,"Using Data for Geographic Mapping and Forecasting in SAS Visual Analytics","SAS","forecasting","INTERMEDIATE",3.1,"https://www.coursera.org/learn/using-data-geographic-mapping-sas-va","In this course, you learn about the data structure needed for geographic mapping and forecasting, how to use SAS Data Studio to restructure data for analysis, and how to create geo maps and forecasts in SAS Visual Analytics.",4.8,"https://www.coursera.org/specializations/sas-visual-business-analytics","Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.","[1.2,4.6]","NA","English","data-science","data-analysis","Mw3qsu-bEem7Cw7a--m-Ig"]
["SAS Visual Business Analytics",4.0,"Performing Network, Path, and Text Analyses in SAS Visual Analytics","SAS","NA","INTERMEDIATE",5.2,"https://www.coursera.org/learn/network-path-text-analyses-sas-va","In this course, you learn about the data structure needed for network, path, and text analytics and how to create network analysis, path analysis, and text analytics in SAS Visual Analytics.",5.0,"https://www.coursera.org/specializations/sas-visual-business-analytics","Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.","[1.7,8.4]","Japanese","English","data-science","data-analysis","QgTUKOUUEemxcA6MYUxOhg"]
["SAS Visual Business Analytics",5.0,"Creating Advanced Reports with SAS Visual Analytics","SAS","NA","INTERMEDIATE",5.6,"https://www.coursera.org/learn/advanced-reports-sas-va","In this course, you learn how to create advanced data items, filters, and parameters in SAS Visual Analytics.",5.0,"https://www.coursera.org/specializations/sas-visual-business-analytics","Using SAS Visual Analytics, you will learn to access and manipulate data, analyze data with a variety of interactive reports and graphics, and design and share dashboards to visualize your data. SAS Visual Analytics is a useful skill in a variety of careers, including business analyst, researcher, statistician, or data scientist.","[2.7,8.4]","NA","English","data-science","data-analysis","U2VWB--bEem7Cw7a--m-Ig"]
["TESOL Certificate, Part 1: Teach English Now!",1.0,"Teach English Now! Foundational Principles","Arizona State University","online-learning; courage; want; education; opinion; belief","BEGINNER",18.6,"https://www.coursera.org/learn/english-principles","Through a series of engaging metaphors and stories, prospective and current EFL/ESL teachers will identify, summarize, and evaluate 7 basic language learning paradigms.  Learners will be presented information on such foundational principles as motivation, risk taking, two different modes of learning, and balancing the teacher profession.  Learners are also given an understanding of basic techniques founded on those principles, such as teacher talk, looking “ridiculous” in order to lower the affective filter, and networking.   With these foundational principles in mind, ESL/EFL teachers will scrutinize common assumptions about language learning by comparing how they stack up to research-based core principles.",4.87,"https://www.coursera.org/specializations/tesol","Demonstrate basic foundational principles, recognize second or foreign language learning theories, and design and plan lessons to teach English as a second or foreign language effectively.\\n\\nThis specialization is the first of two specializations that make up the TESOL Certificate from Arizona State University. In this specialization, you will learn about the basic foundational principles of language acquisition and the basic techniques founded upon those principles. It will describe second or foreign language theories, and basic studies in second language acquisition and their pedagogical implications. It will elaborate upon basic design for lesson plans and provide access to professional resources. In the final Capstone Project, in collaboration with Arizona State University’s Global Launch, you will apply the skills you learned by designing a lesson plan which includes learning outcomes, assessments, materials, classroom management techniques and the learning activities themselves. When you complete this specialization, go on to the second specialization in order to complete your TESOL certificate experience!","[10.8,26.6]","Arabic; Russian; Portuguese; Ukrainian; Chinese; Spanish","English","social-sciences","education","TIDJWBwuEeWP9g4JMjGIiQ"]
["TESOL Certificate, Part 1: Teach English Now!",2.0,"Teach English Now! Theories of Second Language Acquisition","Arizona State University","online-learning; want; education; opinion","INTERMEDIATE",16.4,"https://www.coursera.org/learn/language-theories","In this course learners are introduced to second or foreign language theories and practices for teaching and assessing listening, speaking, and pronunciation.  Learners will also be introduced to basic studies in second language acquisition and their pedagogical implications.  Teachers will be invited to recognize the importance of grounding their own teaching philosophy through an examination of purpose, content, and technique.",4.87,"https://www.coursera.org/specializations/tesol","Demonstrate basic foundational principles, recognize second or foreign language learning theories, and design and plan lessons to teach English as a second or foreign language effectively.\\n\\nThis specialization is the first of two specializations that make up the TESOL Certificate from Arizona State University. In this specialization, you will learn about the basic foundational principles of language acquisition and the basic techniques founded upon those principles. It will describe second or foreign language theories, and basic studies in second language acquisition and their pedagogical implications. It will elaborate upon basic design for lesson plans and provide access to professional resources. In the final Capstone Project, in collaboration with Arizona State University’s Global Launch, you will apply the skills you learned by designing a lesson plan which includes learning outcomes, assessments, materials, classroom management techniques and the learning activities themselves. When you complete this specialization, go on to the second specialization in order to complete your TESOL certificate experience!","[9.7,22.3]","Spanish","English","social-sciences","education","d64E7li7EeWylgpjfV1KVQ"]
["TESOL Certificate, Part 1: Teach English Now!",3.0,"Teach English Now! Lesson Design and Assessment","Arizona State University","online-learning; education","INTERMEDIATE",21.2,"https://www.coursera.org/learn/lesson-design","Learners will be introduced to designing lesson plans based on principles and knowledge of learning objectives, assessment plans, methods, materials, and learning activities. Learners will find and prepare appropriate teaching materials through careful analysis, adaptation and creation of professional resources. Learners will also reflect on the cohesion between lesson design and teaching philosophies.",4.9,"https://www.coursera.org/specializations/tesol","Demonstrate basic foundational principles, recognize second or foreign language learning theories, and design and plan lessons to teach English as a second or foreign language effectively.\\n\\nThis specialization is the first of two specializations that make up the TESOL Certificate from Arizona State University. In this specialization, you will learn about the basic foundational principles of language acquisition and the basic techniques founded upon those principles. It will describe second or foreign language theories, and basic studies in second language acquisition and their pedagogical implications. It will elaborate upon basic design for lesson plans and provide access to professional resources. In the final Capstone Project, in collaboration with Arizona State University’s Global Launch, you will apply the skills you learned by designing a lesson plan which includes learning outcomes, assessments, materials, classroom management techniques and the learning activities themselves. When you complete this specialization, go on to the second specialization in order to complete your TESOL certificate experience!","[12.5,31.9]","Persian; Spanish","English","social-sciences","education","vIC_m1i_EeWzUQ41NnCQkQ"]
["TESOL Certificate, Part 1: Teach English Now!",4.0,"Teach English Now! Capstone Project 1","Arizona State University","education","BEGINNER",47.1,"https://www.coursera.org/learn/teaching-english-capstone","In the final Capstone Project, you will apply the skills you learned by observing teachers at work (a total of six hours of observation).  You will build on the concepts learned from the previous courses to analyze the lessons.  You will also submit your teaching philosophy, a five-day lesson plan, and a teaching tip. You will deliver a portion of your lesson, submitting a 6-10 minute video for peer review.  If you have completed Teach English Now! Part 1 and Teach English Now! Part 2, you will submit your work for expert review to receive your ASU 150-hour TESOL Certificate from ASU, in addition to your Coursera certificates.",4.85,"https://www.coursera.org/specializations/tesol","Demonstrate basic foundational principles, recognize second or foreign language learning theories, and design and plan lessons to teach English as a second or foreign language effectively.\\n\\nThis specialization is the first of two specializations that make up the TESOL Certificate from Arizona State University. In this specialization, you will learn about the basic foundational principles of language acquisition and the basic techniques founded upon those principles. It will describe second or foreign language theories, and basic studies in second language acquisition and their pedagogical implications. It will elaborate upon basic design for lesson plans and provide access to professional resources. In the final Capstone Project, in collaboration with Arizona State University’s Global Launch, you will apply the skills you learned by designing a lesson plan which includes learning outcomes, assessments, materials, classroom management techniques and the learning activities themselves. When you complete this specialization, go on to the second specialization in order to complete your TESOL certificate experience!","[21.9,76.2]","NA","English","social-sciences","education","6r0j3li_EeWzUQ41NnCQkQ"]
["TESOL Certificate, Part 1: Teach English Now!",4.0,"Teach English Now! Capstone Project 1","Arizona State University","education","BEGINNER",47.1,"https://www.coursera.org/learn/teaching-english-capstone","In the final Capstone Project, you will apply the skills you learned by observing teachers at work (a total of six hours of observation).  You will build on the concepts learned from the previous courses to analyze the lessons.  You will also submit your teaching philosophy, a five-day lesson plan, and a teaching tip. You will deliver a portion of your lesson, submitting a 6-10 minute video for peer review.  If you have completed Teach English Now! Part 1 and Teach English Now! Part 2, you will submit your work for expert review to receive your ASU 150-hour TESOL Certificate from ASU, in addition to your Coursera certificates.",4.85,"https://www.coursera.org/specializations/tesol","Demonstrate basic foundational principles, recognize second or foreign language learning theories, and design and plan lessons to teach English as a second or foreign language effectively.\\n\\nThis specialization is the first of two specializations that make up the TESOL Certificate from Arizona State University. In this specialization, you will learn about the basic foundational principles of language acquisition and the basic techniques founded upon those principles. It will describe second or foreign language theories, and basic studies in second language acquisition and their pedagogical implications. It will elaborate upon basic design for lesson plans and provide access to professional resources. In the final Capstone Project, in collaboration with Arizona State University’s Global Launch, you will apply the skills you learned by designing a lesson plan which includes learning outcomes, assessments, materials, classroom management techniques and the learning activities themselves. When you complete this specialization, go on to the second specialization in order to complete your TESOL certificate experience!","[21.9,76.2]","NA","English","social-sciences","education","6r0j3li_EeWzUQ41NnCQkQ"]
["TESOL Certificate, Part 2: Teach English Now!",1.0,"Teach English Now! Second Language Reading, Writing, and Grammar","Arizona State University","english-grammar; language; confidence; lesson-plan; writing; english-language; grammar; essay-writing; plan; teaching","BEGINNER",19.7,"https://www.coursera.org/learn/tesol-writing","In this course, you will learn ideas for teaching reading and writing courses, and how to include grammar instruction within them.  Learn how to help students with differing types of reading problems and how to implement both intensive and extensive reading strategies.  Learn strategies to engage students in the stages of writing--pre-writing, writing, and post-writing.  Find out about different writing problems that students may encounter.  Incorporate grammar through the use of noticing and input enhancement.",4.9,"https://www.coursera.org/specializations/tesol-certificate-2","This specialization is the second of two specializations that make up the TESOL Certificate from Arizona State University. This Specialization builds on the theories learned in TESOL Certificate, Part 1: Teach English Now! Foundational Principles. It covers the design and implementation of reading and writing, listening and speaking, and technology enriched activities, as well as a teaching practicum. In the final Capstone Project, developed by international educators and TESOL specialists at ASU’s Global Launch, you’ll apply the skills you learned by demonstrating your ability to teach through video recordings and by reflecting on your own and others’ teaching. When you complete both Specializations, you will submit your work for expert review to receive your ASU 150-hour TESOL Certificate, in addition to your Coursera certificates.","[12.2,28.1]","Arabic; Spanish","English","language-learning","learning-english","RLshf_xsEeWa_RIigsB41Q"]
["TESOL Certificate, Part 2: Teach English Now!",1.0,"Teach English Now! Second Language Reading, Writing, and Grammar","Arizona State University","english-grammar; language; confidence; lesson-plan; writing; english-language; grammar; essay-writing; plan; teaching","BEGINNER",19.7,"https://www.coursera.org/learn/tesol-writing","In this course, you will learn ideas for teaching reading and writing courses, and how to include grammar instruction within them.  Learn how to help students with differing types of reading problems and how to implement both intensive and extensive reading strategies.  Learn strategies to engage students in the stages of writing--pre-writing, writing, and post-writing.  Find out about different writing problems that students may encounter.  Incorporate grammar through the use of noticing and input enhancement.",4.9,"https://www.coursera.org/specializations/tesol-certificate-2","This specialization is the second of two specializations that make up the TESOL Certificate from Arizona State University. This Specialization builds on the theories learned in TESOL Certificate, Part 1: Teach English Now! Foundational Principles. It covers the design and implementation of reading and writing, listening and speaking, and technology enriched activities, as well as a teaching practicum. In the final Capstone Project, developed by international educators and TESOL specialists at ASU’s Global Launch, you’ll apply the skills you learned by demonstrating your ability to teach through video recordings and by reflecting on your own and others’ teaching. When you complete both Specializations, you will submit your work for expert review to receive your ASU 150-hour TESOL Certificate, in addition to your Coursera certificates.","[12.2,28.1]","Arabic; Spanish","English","language-learning","learning-english","RLshf_xsEeWa_RIigsB41Q"]
["TESOL Certificate, Part 2: Teach English Now!",2.0,"Teach English Now! Second Language Listening, Speaking, and Pronunciation","Arizona State University","language; confidence; lesson-plan; speech; writing; english-language; presentation; plan; planning; teaching; learning","INTERMEDIATE",20.4,"https://www.coursera.org/learn/tesol-speaking","In this course, you will be introduced to some of the challenges of teaching and learning listening and speaking, such as paralinguistics, performance variables, reduced and regional forms, and differing types of oral discourse. Don't worry--you'll learn what those mean, too!  Then you'll learn how to ease the acquisition of listening and speaking for your students. The course also highlights the powerful opportunity to include pronunciation in listening and speaking classes and offers strategies to incorporate pronunciation activities.",4.89,"https://www.coursera.org/specializations/tesol-certificate-2","This specialization is the second of two specializations that make up the TESOL Certificate from Arizona State University. This Specialization builds on the theories learned in TESOL Certificate, Part 1: Teach English Now! Foundational Principles. It covers the design and implementation of reading and writing, listening and speaking, and technology enriched activities, as well as a teaching practicum. In the final Capstone Project, developed by international educators and TESOL specialists at ASU’s Global Launch, you’ll apply the skills you learned by demonstrating your ability to teach through video recordings and by reflecting on your own and others’ teaching. When you complete both Specializations, you will submit your work for expert review to receive your ASU 150-hour TESOL Certificate, in addition to your Coursera certificates.","[11.8,30.1]","Arabic; Spanish","English","language-learning","learning-english","bvroJANGEeaJMgqy4cb6jQ"]
["TESOL Certificate, Part 2: Teach English Now!",2.0,"Teach English Now! Second Language Listening, Speaking, and Pronunciation","Arizona State University","language; confidence; lesson-plan; speech; writing; english-language; presentation; plan; planning; teaching; learning","INTERMEDIATE",20.4,"https://www.coursera.org/learn/tesol-speaking","In this course, you will be introduced to some of the challenges of teaching and learning listening and speaking, such as paralinguistics, performance variables, reduced and regional forms, and differing types of oral discourse. Don't worry--you'll learn what those mean, too!  Then you'll learn how to ease the acquisition of listening and speaking for your students. The course also highlights the powerful opportunity to include pronunciation in listening and speaking classes and offers strategies to incorporate pronunciation activities.",4.89,"https://www.coursera.org/specializations/tesol-certificate-2","This specialization is the second of two specializations that make up the TESOL Certificate from Arizona State University. This Specialization builds on the theories learned in TESOL Certificate, Part 1: Teach English Now! Foundational Principles. It covers the design and implementation of reading and writing, listening and speaking, and technology enriched activities, as well as a teaching practicum. In the final Capstone Project, developed by international educators and TESOL specialists at ASU’s Global Launch, you’ll apply the skills you learned by demonstrating your ability to teach through video recordings and by reflecting on your own and others’ teaching. When you complete both Specializations, you will submit your work for expert review to receive your ASU 150-hour TESOL Certificate, in addition to your Coursera certificates.","[11.8,30.1]","Spanish; Arabic","English","language-learning","learning-english","bvroJANGEeaJMgqy4cb6jQ"]
["TESOL Certificate, Part 2: Teach English Now!",3.0,"Teach English Now! Technology Enriched Teaching","Arizona State University","gratitude; instructional-design; lesson-plan; professional-development; language; speech; professional; thought; english-language; plan; teaching","INTERMEDIATE",21.5,"https://www.coursera.org/learn/tesol-technology","This course focuses on the key concepts you need in order to effectively integrate technology into your teaching, without letting it overshadow language learning. Discover current and future trends in educational technology, along with strategies for implementing these trends in the classroom and beyond. As technology is continually evolving, learn how to keep up on current technological applications through professional development networks and training opportunities.",4.84,"https://www.coursera.org/specializations/tesol-certificate-2","This specialization is the second of two specializations that make up the TESOL Certificate from Arizona State University. This Specialization builds on the theories learned in TESOL Certificate, Part 1: Teach English Now! Foundational Principles. It covers the design and implementation of reading and writing, listening and speaking, and technology enriched activities, as well as a teaching practicum. In the final Capstone Project, developed by international educators and TESOL specialists at ASU’s Global Launch, you’ll apply the skills you learned by demonstrating your ability to teach through video recordings and by reflecting on your own and others’ teaching. When you complete both Specializations, you will submit your work for expert review to receive your ASU 150-hour TESOL Certificate, in addition to your Coursera certificates.","[11.1,31.9]","Spanish; Russian","English","language-learning","learning-english","raZNrgNGEeaJMgqy4cb6jQ"]
["TESOL Certificate, Part 2: Teach English Now!",3.0,"Teach English Now! Technology Enriched Teaching","Arizona State University","gratitude; instructional-design; lesson-plan; professional-development; language; speech; professional; thought; english-language; plan; teaching","INTERMEDIATE",21.5,"https://www.coursera.org/learn/tesol-technology","This course focuses on the key concepts you need in order to effectively integrate technology into your teaching, without letting it overshadow language learning. Discover current and future trends in educational technology, along with strategies for implementing these trends in the classroom and beyond. As technology is continually evolving, learn how to keep up on current technological applications through professional development networks and training opportunities.",4.84,"https://www.coursera.org/specializations/tesol-certificate-2","This specialization is the second of two specializations that make up the TESOL Certificate from Arizona State University. This Specialization builds on the theories learned in TESOL Certificate, Part 1: Teach English Now! Foundational Principles. It covers the design and implementation of reading and writing, listening and speaking, and technology enriched activities, as well as a teaching practicum. In the final Capstone Project, developed by international educators and TESOL specialists at ASU’s Global Launch, you’ll apply the skills you learned by demonstrating your ability to teach through video recordings and by reflecting on your own and others’ teaching. When you complete both Specializations, you will submit your work for expert review to receive your ASU 150-hour TESOL Certificate, in addition to your Coursera certificates.","[11.1,31.9]","Russian; Spanish","English","language-learning","learning-english","raZNrgNGEeaJMgqy4cb6jQ"]
["TESOL Certificate, Part 2: Teach English Now!",4.0,"Teach English Now! Capstone Project 2","Arizona State University","gratitude; language; lesson-plan; teaching-method; evaluation; writing; english-language; plan; planning; teaching","BEGINNER",18.7,"https://www.coursera.org/learn/teaching-english-capstone-2","In the final Capstone Project, you will apply the skills you learned by doing practice teaching.  You will build on your assignments from the previous courses to refine your lesson plans and video-tape yourself presenting the lesson.  You will submit a total of ten videos.  If you have completed Teach English Now! Part 1 and Teach English Now! Part 2, you will submit your work for expert review to receive your ASU 150-hour TESOL Certificate from ASU, in addition to your Coursera certificates.",4.76,"https://www.coursera.org/specializations/tesol-certificate-2","This specialization is the second of two specializations that make up the TESOL Certificate from Arizona State University. This Specialization builds on the theories learned in TESOL Certificate, Part 1: Teach English Now! Foundational Principles. It covers the design and implementation of reading and writing, listening and speaking, and technology enriched activities, as well as a teaching practicum. In the final Capstone Project, developed by international educators and TESOL specialists at ASU’s Global Launch, you’ll apply the skills you learned by demonstrating your ability to teach through video recordings and by reflecting on your own and others’ teaching. When you complete both Specializations, you will submit your work for expert review to receive your ASU 150-hour TESOL Certificate, in addition to your Coursera certificates.","[12.5,22.4]","Arabic","English","language-learning","learning-english","H9srQANGEeakfg64MWgFTw"]
["TESOL Certificate, Part 2: Teach English Now!",4.0,"Teach English Now! Capstone Project 2","Arizona State University","gratitude; language; lesson-plan; teaching-method; evaluation; writing; english-language; plan; planning; teaching","BEGINNER",18.7,"https://www.coursera.org/learn/teaching-english-capstone-2","In the final Capstone Project, you will apply the skills you learned by doing practice teaching.  You will build on your assignments from the previous courses to refine your lesson plans and video-tape yourself presenting the lesson.  You will submit a total of ten videos.  If you have completed Teach English Now! Part 1 and Teach English Now! Part 2, you will submit your work for expert review to receive your ASU 150-hour TESOL Certificate from ASU, in addition to your Coursera certificates.",4.76,"https://www.coursera.org/specializations/tesol-certificate-2","This specialization is the second of two specializations that make up the TESOL Certificate from Arizona State University. This Specialization builds on the theories learned in TESOL Certificate, Part 1: Teach English Now! Foundational Principles. It covers the design and implementation of reading and writing, listening and speaking, and technology enriched activities, as well as a teaching practicum. In the final Capstone Project, developed by international educators and TESOL specialists at ASU’s Global Launch, you’ll apply the skills you learned by demonstrating your ability to teach through video recordings and by reflecting on your own and others’ teaching. When you complete both Specializations, you will submit your work for expert review to receive your ASU 150-hour TESOL Certificate, in addition to your Coursera certificates.","[12.5,22.4]","Arabic","English","language-learning","learning-english","H9srQANGEeakfg64MWgFTw"]