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Courses Coursera's Most Popular Courses & Specializations of 2019


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Coursera have released their most popular courses and Specializations of 2019. This is what they said about them:

"2019's most popular courses demonstrate a continued demand for AI-related content across professions and lifestyles. Employers and employees alike are realizing the crucial role technical skills will have - and already have - in the future of work. Meanwhile, individuals unaffiliated with tech jobs are also learning about AI-related subjects, likely to better understand the broader implications of living in an increasingly digital-first society."

Here are their top 10 most popular courses of 2019:
  1. Machine Learning (Stanford)
  2. Learning How to Learn: Powerful mental tools to help you master tough subjects (McMaster University and UC San Diego)
  3. The Science of Well-Being (Yale)
  4. Programming for Everybody (Getting Started with Python) (University of Michigan)
  5. AI for Everyone (deeplearning.ai)
  6. Neural Networks and Deep Learning (deeplearning.ai)
  7. English for Career Development (University of Pennsylvania)
  8. Algorithms, Part I (Princeton)
  9. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning (deeplearning.ai)
  10. What Is Data Science? (IBM)

And here are their top 10 most popular specializations of 2019:
  1. Python for Everybody (University of Michigan)
  2. Deep Learning (deeplearning.ai)
  3. IBM Data Science (IBM)
  4. Google IT Support (Google)
  5. Architecting with Google Compute Engine (Google Cloud)
  6. Applied Data Science with Python (University of Michigan)
  7. Data Science (John Hopkins University)
  8. Excel Skills for Business (Macquarie University)
  9. Data Engineering, Big Data, and Machine Learning on GCP (Google Cloud)
  10. Improve Your English Communication Skills (Georgia Institute of Technology)

Click here to see Coursera's End of Year Round-Up 2019.


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