Learn the tidyverse

R for data science

The best place to start learning the tidyverse is R for Data Science (R4DS for short), an O’Reilly book written by Hadley Wickham and Garrett Grolemund. It’s designed to take you from knowing nothing about R or the tidyverse to having all the basic tools of data science at your fingertips. You can read it online for free, or buy a physical copy.

We highly recommend pairing R4DS with the RStudio cheatsheets. These cheatsheets have been carefully designed to pack a lot of information into a small amount of space. You can keep them handy at your desk and quickly jog your memory when you get stuck. Most of the cheatsheets have been translated into multiple languages.


(Do you have a book you’d like to see listed here? Please submit a pull request!)

Online courses

(Do you have a course you’d like to see listed here? Please submit a pull request!)

  • Writing functions in R by Hadley and Charlotte Wickham, hosted on datacamp. This course will teach you the fundamentals of writing functions in R so that, among other things, you can make your code more readable, avoid coding errors, and automate repetitive tasks.

  • Data visualisation with ggplot2 by Rick Scavetta, hosted on datacamp. Covers the basics of ggplot2. Followed by part 2 which covers more advanced topics.

  • Exploratory data analysis in R: case study by David Robinson, hosted on datacamp. This course brings ggplot2 and dplyr to action on a real dataset, also introducing broom for tidying model output and how to tidy up data to help you explore your dataset.

University courses

(Do you have a course you’d like to see listed here? Please submit a pull request!)


  • Data Challenge Lab. Stanford University; Hadley Wickham and Bill Behrman. This is a 5-unit course using a flipped classroom. The curriculum is designed to cover each main thread of R4DS multiple times, diving a little deeper at each pass.

  • M.Sc. Industrial Analysis: An International Perspective. HEC Montreal; Thierry Warin. Graduate program in Data Science for International Business (DS4IB), where students learn how to use RStudio, RMardown, the tidyverse and open data in a reproducible research workflow. Hosted at Dr.HECtoR.


  • Stat545; UBC; Jenny Bryan. Data wrangling, exploration, and analysis with R


  • Stat405; Hadley Wickham, Rice University. Mainly included for historical interest - you can see some of the work that lead up to the creation of the tidyverse.
Upcoming events
San Francisco, CA
Sep 19-20
An intense two day workshop that gives you the skills to build your own tidy tools. Take this class if you have some experience programming in R and you want to learn how to effectively tackle larger scale problems.
Washington, DC
Oct 5-Oct 6
This two-day workshop covers the most important parts of “R for Data Science”, giving you a running start in learning the tidyverse.