More Resources for Getting Started with R

More Resources for Getting Started with R

We just finished a two-part introductory sequence on Getting Started with Coding in R (see Part 1 and Part 2). Today, let's look at some other useful resources for getting started with R.

Books

If you like learning from books, the following are great resources for getting started with R. These are very accessible since they're both available for free online! The first is R for Data Science by Hadley Wickham and Garrett Grolemund. The second is Advanced R by Hadley Wickham.

Stack Overflow

Another great resource for getting started with R is Stack Overflow. It contains a lot of questions and answers on how to do things in R. The link above takes you to their list of resources for R. You can also access the resources there by typing "How to [type your question here] in R" in a search engine. You'll likely find many relevant and helpful questions and answers from here!

Tutorials

The R-bloggers site is another great resource for getting started with R. It features posts from numerous R bloggers across the world and is a great place to find all kinds of tutorials in R! If you're not sure where to start, you can start with their page on Learning R.

Another tutorial is the swirl package in R. It's designed to teach you how to use R directly through the R console. You can follow the directions here to get started with it.

Online Courses

If you prefer learning through a structured class setting, Coursera offers many classes for learning R. While many of these are embedded within the professional certificates or specializations they offer, you can try out classes for free during the trial period. You can also apply for financial aid when you register for a class. Datacamp also offers some similarly priced classes for learning R.

Meetup Groups

Finally, there are many local meetups for R users! You can search for groups near you on Meetup. There are numerous R-Ladies meetup groups and they often feature tutorials and dedicated time to work on R projects with other people.