You don’t need a PhD in statistics or years of coding experience to learn R. Anyone can learn the most powerful tool for data analysis and visualization.

R lets you wrangle, analyze, and visualize data quickly, efficiently, and beautifully.

Oh, and it’s free.

The R for the Rest of Us online courses are designed to guide you through every step on your R journey. All courses combine combine video lessons with exercises for you to practice what you’re learning. And you get access to carefully curated resources so that you can learn more about any topic that piques your interest.

Looking for more?

R in 3 Months offers high-quality course materials, personalized feedback, and a supportive community.

Learn More

Core Track

From "what's R?" to R expert in three courses.
Start here when you're just starting out.

One of the main obstacles that many new R users face is simply getting started. This free course is designed to get new users, no matter what’s holding you back, up and running quickly. It takes you step-by-step, helping you download exactly what you need to get started.

The Fundamentals of R course covers RMarkdown, which makes it possible to go from data import to final report in one tool. It also offers a solid foundation in data wrangling, analysis, and visualization. After completing the course, you will be able to run analyses and produce beautiful reports, all without ever leaving R.

Once you’ve got the fundamentals of R down, you can do a lot with R. But what happens when:

  • Your data isn’t in the right format to plot with
  • You get messy data and don’t know how to deal with it
  • You want to produce presentations from RMarkdown documents, not just reports

These are just a few of the questions that Going Deeper with R is designed to answer.

Topics Courses

Courses on particular topics taught by my talented friends in the R community.

I’ve taught a lot of people to use R. Once they get the basics down, one of the first questions they ask is: how do I share my code with others? Should they email it? But then, if they need to change the code, they have to send it again. Should they put it on Dropbox? But if multiple people work on a file on Dropbox, all sorts of problems ensue.

What to do? The answer is Git and GitHub.

Using Git and GitHub allows you to share code, ensuring everyone has the most up-to-date code and allowing multiple people to work on the code at the same time.

In recent years, R has become a fully-fledged tool for doing geospatial work. With R, you can make choropleth maps, hexbin maps, you name it. Any type of map you can think of, you can make it in R.

Don’t waste your time and your money learning to make maps in other tools. Get started today and you’ll be making maps in R in no time.

Data cleaning skills are essential to your success. Fortunately, R has some great packages to help with data cleaning. Unfortunately, knowing what these packages are and how to use them is not straightforward. This course will help you learn how to take messy data and quickly clean it.

Learning to make your own functions is a huge step on your R journey. But how do you reuse functions across projects? The answer is to make your own R package.

This course will show you how to make your own package and help make you more efficient than you've ever been before..

R is unique among programming languages because it is designed for statistics. Unlike other general purpose languages that can work with data (e.g. Python), data analysis is at the core of what R does.

Given this, many people are disappointed when they struggle to figure out how to do inferential statistics with R. They say, "I know how to do a t-test in SPSS, I just want to do the same thing in R!" Sound familiar? If so, this course is designed for you.