Never written code before? No problem! In this beginner-friendly interactive R programming course, you'll learn the fundamentals of R programming from scratch — zero experience required!

  • Why Learn R?

  • What's Covered?

  • Why Dataquest?

Why Take an R Programming Course?

R is a beginner-friendly programming language that has powerful features for statistical analysis, and a few other special advantages that make it an excellent choice for data work. 

R is widely-used for data analysis throughout science and academia, but it's also quite popular in the business world. Many of the world's top tech companies hire R programmers to work as data professionals.

Learning R programming can open up new career paths. Many data scientists, who earn an average of $122k per year, use primarily R.

Another reason to learn R is the excellent, well-supported library of open-source packages for data work. Tidyverse packages like dplyr and ggplot2 make working with data in R very approachable, even for total beginners. These packages are so well-liked that at many organizations they form a critical part of the data science workflow.

(At Dataquest, we'll show you how to make use of these awesome packages for faster, easier, and more professional-looking data work!)

While R is a less versatile programming language than Python, it has some advantages over Python in the world of data analysis, because it was built specifically with statistical analysis in mind.

While you might not want to use R to build a video game, if you're working with data, the R programming language is purpose-built to handle some of the common tasks you'll be dealing with.

Even basic R programming skills can help you process and analyze data much more quickly and effectively in your current job. 

Read more about why R is a great choice for data analysis and data science work.

By the end of this course, you'll be able to:

  • Use the R programming language to import and manipulate data.
  • Use logical expressions and understand the data analysis workflow.
  • Set up your own development environment for projects.

Need to know more about what it's like to take an R programming course on Dataquest? Check out our in-depth guide on how to use Dataquest, including some cool tips, tricks, and keyboard shortcuts!

What's Covered in This Course?

Introduction to Programming in R

Learn the basics of R, a popular programming language for data scientists.

Arithmetic Expressions and Variables in R

Learn more about the fundamentals of R syntax, how to assign and manipulate variables, and more.

Logical Expressions in R

Learn to write and work with logical expressions in your code.

Data Manipulation with R: Basics

Learn about the data analysis workflow in the context of R programming.

Frequently asked questions about this R programming course:

How long does the course take?

On Dataquest, you can learn at your own pace. There's no set course schedule you need to worry about.

Different learners work at different paces, but a typical learner might finish this course in a few weeks to a month, depending on how much time they were able to dedicate to it.

Where are the videos?

We don't teach with videos. We think the best way to learn programming is to actually write code, not watch someone else write code.

Read more about the science behind our hands-on learning approach.

Can I try it for free?

Yes, and you should! Sign up for a free account and get started right now, right in your browser!

What is this R programming course useful for?

We've designed this course with total beginners in mind, and it's focused on how to use R to work with data.

If you want to become a data analyst or data scientist, this is a great place to start your journey.

If you just want to learn a little R to help out with a data project at work, this course will be great for that too.

Guided Project: Install RStudio

Learn how to install and use RStudio, a free and open-source development environment for R.