Data Science Resources

Here are a few of my favorite resources for learning data science and keeping up with the latest news:

FiveThirtyEight: Data-related journalism
R-bloggers: R news and tutorials contributed by hundreds of bloggers
Yhat Blog: Lots of beginner-friendly content, usually in Python or R
Simply Statistics: From the Biostatistics professors that run Coursera's Data Science Specialization
Data Science 101: Lots of short, timely posts

Courera's Data Science Specialization: 9-course series (plus a Capstone project), taught in R
Springboard's Introduction to Data Science: 3-month program (including mentorship), taught in R
Stanford's Statistical Learning: 10-week course focused on machine learning, taught in R
Caltech's Learning from Data: focused on machine learning, not language-specific
Coursera's Machine Learning: Andrew Ng's course, taught in MATLAB/Octave

Codecademy's Python 3 course: Good beginner material, includes tons of in-browser exercises
DataQuest: Similar interface to Codecademy, but focused on teaching Python in the context of data science
Google's Python Class: Slightly more advanced, includes hours of useful lecture videos and downloadable exercises (with solutions)
Python for Everybody: Designed for people without any programming experience

An Introduction to Statistical Learning (free PDF): Excellent introduction to machine learning that includes 15 hours of related videos (buy on Amazon)
Elements of Statistical Learning (free PDF): A more mathematically rigorous introduction to machine learning (buy on Amazon)
OpenIntro Statistics (free PDF): Open source introductory textbook (buy on Amazon)
Python for Everybody (free PDF): Beginner-oriented Python book (buy on Amazon)
Python for Data Analysis: Great introduction to Pandas, NumPy, and IPython (buy on Amazon)

Many more resources are listed here!