Many are free. They are available online. They are offered by Princeton, Georgia Tech, Harvard, Columbia, Stanford, and Penn State.
- Neural Networks and Deel Learning – Andrew Ng via Coursera
 - Machine Learning – Georgia Institute of Technology via Udacity
 - Machine Learning: Unsupervised Learning – Georgia Institute of Technology via Udacity
 - Statistics and R – Harvard University via edX
 - Introduction to Computer Science – Harvard University via edX
 - Algorithms, Part I – Princeton University via Coursera
 - Analysis of Algorithms – Princeton University via Coursera
 - Bitcoin and Cryptocurrency Technologies – Princeton University via Coursera
 - Introduction to Spreadsheets and Models – University of Pennsylvania via Coursera
 - Networks: Friends, Money, and Bytes – Princeton University via Coursera
 - Using Python for Research – Harvard University via edX
 - Case Studies in Functional Genomics – Harvard University via edX
 - Machine Learning for Data Science and Analytics – Columbia University via edX
 - Statistical Thinking for Data Science and Analytics – Columbia University via edX
 - Artificial Intelligence (AI) – Columbia University via edX
 
DSC Resources
- Subscribe to our Newsletter
 - Comprehensive Repository of Data Science and ML Resources
 - Advanced Machine Learning with Basic Excel
 - Difference between ML, Data Science, AI, Deep Learning, and Statistics
 - Selected Business Analytics, Data Science and ML articles
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 - Post a Blog | Forum Questions
 

