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.

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.

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.

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.