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Most Popular MOOCs of 2017 on Coursera & EdX

Posted in 'Top Courses' started by Carolyn, Jan 2, 2018.

  1. Carolyn

    Carolyn Founder at MoocLab Staff Member

    Gender:
    Female
    Location:
    Suffolk, UK
    Based on information provided by Coursera and EdX, here are their most popular MOOCs of 2017:
    Coursera large.jpg
    Coursera: Most Popular Courses in 2017*
    1. Machine Learning – Stanford University
    2. Neural Networks and Deep Learning – deeplearning.ai
    3. Learning How to Learn: Powerful Mental Tools to Help You Master Tough Subjects – University of California, San Diego
    4. Introduction to Mathematical Thinking – Stanford University
    5. Bitcoin and Cryptocurrency Technologies – Princeton University
    6. Programming for Everybody (Getting Started with Python) – University of Michigan
    7. Algorithms, Part I – Princeton University
    8. English for Career Development – University of Pennsylvania
    9. Neural Networks for Machine Learning – University of Toronto
    10. Financial Markets – Yale University

    Coursera: Most Popular Specializations in 2017*

    1. Deep Learning - deeplearning.ai | 5 courses
    2. Digital Marketing - University of Illinois at Urbana-Champaign | 7 courses
    3. Python for Everybody - University of Michigan | 5 courses
    4. Data Science - Johns Hopkins University | 10 courses
    5. Applied Data Science with Python - University of Michigan | 5 courses
    6. Object Oriented Programming in Java - University of California, San Diego, Duke University | 4 courses
    7. Business Foundations - University of Pennsylvania | 6 courses
    8. Excel to MySQL: Analytic Techniques for Business - Duke University | 5 courses
    9. Functional Programming in Scala - École Polytechnique Fédérale de Lausanne | 5 courses
    10. Achieving Personal and Professional Success - University of Pennsylvania | 4 courses
    *Based on average daily enrollments in 2017.

    Coursera's Top-Rated Specializations of 2017
    Top-Rated in Business

    1. Entrepreneurship - The Wharton School of the University of Pennsylvania | 5 courses
    2. Investment Management - University of Geneva | 5 courses
    3. Construction Management - Columbia University | 4 courses
    Top-Rated in Data Science
    1. Deep Learning - deeplearning.ai | 5 courses
    2. Geographic Information Systems (GIS) - University of California, Davis | 5 courses
    3. Machine Learning - University of Washington | 4 courses
    Top-Rated in Computer Science
    1. Fundamentals of Computing - Rice University | 7 courses
    2. Algorithms - Stanford University | 4 courses
    3. Python for Everybody - University of Michigan | 5 courses
    Top-Rated in Humanities & Social Science
    1. TESOL Certificate, Part 1: Teach English Now! - Arizona State University | 4 courses
    2. Foundations of Positive Psychology - University of Pennsylvania | 5 courses
    3. Creative Writing - Wesleyan University | 5 courses


    Edx.jpg
    Top edX Courses in 2017

    Based on feedback from edX learners

    1. TOEFL® Test Preparation: The Insider’s Guide - ETSx (Self-Paced)
    2. IELTS Academic Test Preparation - University of Queensland, Australia (Self-Paced)
    3. Essential Statistics for Data Analysis using Excel - Microsoft (Starts January 1, 2018)
    4. Basic Spanish 1: Getting Started - UPValenciaX (Self-Paced)
    5. The Science of Happiness - University of California, Berkeley (Starts January 9, 2018)
    6. English Composition - Arizona State University (Starts January 8, 2018)
    Based on feedback from edX staff
    1. The Architectural Imagination - HarvardX (Self-Paced)
    2. HTML5 and CSS Fundamentals - W3Cx (Starts January 1, 2018)
    3. Introduction to Linux - LinuxFoundationX (Self-Paced)
    4. Introduction to Project Management - University of Adelaide (Self-Paced)
    5. Introduction to Java Programming – Part 1 - The Hong Kong University of Science and Technology (Self-Paced)
    6. Communication Skills for Bridging Divides - CatalystX (Starts January 9,2018)
    Top “hot skills” courses on edX to help you land an in-demand job in 2018
    1. Introduction to Computer Science and Programming Using Python - MITx (Self-Paced)
    2. Artificial Intelligence (AI) - Columbia University (Starts January 29, 2018)
    3. Cybersecurity Fundamentals - RITx (Starts January 9, 2018)
    4. Machine Learning - Columbia University (Starts January 29, 2018)
    5. Robotics: Fundamentals - University of Pennsylvania (Self-Paced)
     

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