A curated, fully free path into R for statistics and data science, from your first script in RStudio to real datasets, communities, and reference material you will keep coming back to.
Harvard's Rafael Irizarry teaches R fundamentals using a real crime dataset, free to audit on edX.
A staple Coursera course on programming in R for data analysis, taught by Roger Peng, free to audit.
Covers dplyr and ggplot2 fundamentals for real data analysis, free to audit on Coursera.
Trevor Hastie and Robert Tibshirani's famous statistics course pairs directly with the free ISLR textbook.
A free four hour interactive first course covering vectors, lists, and data frames with in-browser exercises.
A free, quick interactive primer on R fundamentals aimed at people who already know how to code.
Deep, academic style R and statistics tutorials covering everything from RStudio basics to advanced methods.
A friendly beginner focused playlist covering installing R, importing, cleaning, and visualizing data.
Hosts full length free R courses including a 2-hour statistical programming crash course and Harvard's CS50 R intro.
A complete 9 hour university course covering vectors, data frames, tidyverse, and ggplot2 visualization, free on YouTube.
A free 2 hour video course by Barton Poulson covering RStudio, packages, plotting, clustering, and regression.
A free, beginner friendly reference with a live try it yourself editor for every R topic.
The definitive free tidyverse tutorial and reference, walking through import, tidy, transform, visualize, and model.
The tidyverse team's own curated jump-off point to the best free books and courses for learning the ecosystem.
A free condensed reference sheet covering R fundamentals for people coming from another language.
The R Core Team's own official tutorial manual covering the language from first principles.
A daily updated aggregator of tutorials and how-tos from hundreds of R bloggers worldwide, completely free.
An R package that teaches R and statistics interactively right inside your own R console, entirely free.
88 free exercises across 20 concepts with optional human mentor feedback on your solutions.
Bite-sized free exercises with instant answer checks after every R tutorial chapter.
A large free bank of R exercises from basic to advanced, each with a worked sample solution.
Eighteen free runnable exercises on vectors, indexing, strings and functions with fully explained solutions.
A free, well explained set of practice questions spanning beginner to advanced R topics.
Hadley Wickham's essential free book for learning the tidyverse approach to data science in R.
A free, open source textbook teaching statistical inference using tidyverse tools like dplyr and ggplot2.
Hadley Wickham's free deep dive into R's object systems, functional programming, and internals, plus a style guide.
A searchable directory of hundreds of free, open source R books spanning statistics, geospatial work, and packages.
The free PDF companion textbook to Hastie and Tibshirani's famous statistical learning course.
The official R Core Team manual as a free downloadable PDF, covering data types through statistical modelling.
The premier free, open source IDE for R with a console, editor, plotting pane, and built in debugger.
The free official source for downloading R itself and thousands of packages for any platform.
Run RStudio in the browser with a free tier, no local install needed to start writing R.
A free in-browser sandbox to build, test and run R scripts with no installation required.
A long running free podcast for new and experienced R users covering practical data analysis techniques.
A free podcast where data scientists Roger Peng and Hilary Parker discuss data science and R in academia and industry.
The official free library of visual quick reference PDFs for dplyr, ggplot2, tidyr, and dozens of other packages.
A free scannable reference for building any chart with ggplot2's grammar of graphics.
A free printable cheat sheet covering 200 commonly used functions across core R and tidyverse packages.
A free, widely referenced style guide covering naming, spacing, and documentation conventions for writing clean R.
A free collection of visual reference sheets focused specifically on building charts and graphics in R.
A free, welcoming discussion board for R, Shiny, and package development questions, with Posit staff participating.
The largest free Q&A archive for R programming problems, searchable and constantly growing.
A free Slack community of over 17,000 members working through R for Data Science together with dedicated channels.
A free site pairing R practice exercises with an active community focused on learning by doing.
A free Kaggle notebook and dataset hub to start applying R skills to real world data immediately.
A free rundown of concrete, scoped R project ideas to build a portfolio, from beginner to advanced.
Free beginner project walkthroughs with source code for practicing real R data analysis end to end.
A free large index of R project briefs spanning classification, clustering, and recommendation systems.