What are the best data science MOOCs?

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Mayeesha Tahsin

I think it's okay if I use other lists and just include here on my list(it's efficient and well, it just makes sense because they might update stuff later too).
So there goes my oh-so-meta list :

• The Open Source Data Science Masters :
• Tutorials | Kaggle :
  
• Books And Courses by Kaggle
• Data Analysis Learning Path by MyslideRule.

Python track :

• CS109 Data Science : Harvard's data science course online. It's generally recommended by everyone, including William. It's not exactly a MOOC, but all the materials are archived online. I've checked out the materials and I know it's really good, but I also think it's important to get some background knowledge like good programming skills in python, a good grasp of the statistics fundamentals and plenty of time before taking this one.
• University of Washington data science course in Coursera. Here's the link : UWdatascience. It uses both R and Python as far as I remember and has some little quizzes and Kaggle competition.

R track :

• The Analytics Edge in Edx. Here's the link : The Analytics Edge. It has around 75 datasets and starts from linear regression upto clustering and some classification techniques like Random Forest and CART models in between. It also features a Kaggle competition at the end of the sixth week.
• John Hopkins data science specialization track. Its really famous because it's probably one of the first data science MOOC's.

Other courses :

• Machine Learning by Andrew Ng.
• Mining Massive Datasets :It's by Jure Lescovec from Stanford and he seems to be a prominent researcher on networks.
  
• Learning from Data by Caltech.
• Statistical Learning :
• Data Analyst Nanodegree Program by Udacity.
• Introduction to Recommender Systems. I think Xavier Amatriain was mentioning it in an answer. They just made it on-demand too.

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