Extra resources

This is a collection of resources for learning R/data science. If you have feedback feel free to email Iain.

Learn R

• R for Data Science by Hadley Wickham

• r-bloggers

• Stack Overflow

• chrisalbon.com has lots of reproducible examples

• R Programming for Data Science, Exploratory Data Analysis with R, and Report Writing for Data Science in R by Roger Peng

• Computational and Inferential Thinking Berkeley’s data8 textbook

• Coursera’s Data Science specialization by the guys at JHU

• how to learn R

• Kagge has a good list of R/data science tutorials

• Swirl is an interactive intro do R

• code school is too

Advanced R

• Advanced R by Hadley Wickham

• Karl Broman’s Tools for Reproducible Research is an amazing meta-resource

Statistics/machine learning textbooks

• Introduction to Statitical Learing with R

Other data science courses

• Stat 545 taught by Jenny Bryan at UBC

• CS109: Data Science by Joe Blitzstein at Harvard

• BIO 260: Intoduction to Data Science by Rafael Irizarry and Stephanie Hicks at Harvard

• Introduction to Data Analysis by Hadley Whickham at Rice

• Foundations of Data Science at Berkeley

• JOMC390: Data Driven Journalism by Ryan Thornburg

• Advanced Data Science by Jeff Leek

Vizualization and communication

• Data Visualization course by Kiran Healy

• Edward Tufe’s books
  • Beautiful Evidence

• Trees, maps and theorems

Blogs

• Simply Statistics

• Flowing data tons of data viz

• FiveThirtyEight

• I quant NY

• Andrew Gelman’s blog