By edX with Harvard University
Build a movie recommendation system and learn popular machine learning algorithms, principal component analysis, and regularization techniques using R programming
Solid intro to ML with R but overpriced at $149. Good for Harvard brand recognition but lacks depth in explanations compared to expectations.
Covers ML fundamentals and R programming through movie recommendation project. Some students report explanations lack depth and feel rushed.
Prof Irizarry leads comprehensive program but students report insufficient explanations of new concepts and code examples.
Standard edX platform with reliable video delivery, discussion boards, and lifetime access to course materials.
Criticized as overpriced at $149, especially after price increase from previous $50. Harvard brand premium questioned.
Students learn R programming and basic ML concepts but report mixed retention of statistical fundamentals and theory.
You want Harvard credentials and need to learn R programming from beginner level
Good for resume building with recognized university brand and comprehensive R introduction through practical ML project.
You're looking for deep statistical theory or have budget constraints
Course prioritizes practical coding over theoretical depth and costs significantly more than comparable alternatives.
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