Skip to main content
career track

R Programmer

Gain the career-building R programming skills you need to successfully develop software, wrangle data, and perform advanced data analysis in R. No prior coding experience is required, you can start your journey to becoming an R programmer today!  In this track, you'll learn how to manipulate data, write efficient R code, and work with challenging data, including date and time data, text data, and web data using APIs.  As you become more comfortable with these skills, you'll move on to learn about writing functions in R and object-oriented programming—an essential skill for R programmers working with large and complex programs.  Through interactive exercises, you'll also gain experience working with powerful R libraries, including devtools, testthat, and rvest, that will help you perform key programmer tasks, such as web development, data analysis, and task automation.  By the time you finish this track, you’ll have a firm grasp of what’s needed to become an R programmer and have the skills to get started as one.

RClock52 hoursLearn13 coursesApply2 projectsTrophyStatement of Accomplishment

Create Your Free Account



By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.

Loved by learners at thousands of companies

Introduction to the Tidyverse

Get started on the path to exploring and visualizing your own data with the tidyverse, a powerful and popular collection of data science tools within R.

4 hours

David Robinson Headshot

David Robinson

Principal Data Scientist at Heap


  • David Robinson Headshot
    David RobinsonPrincipal Data Scientist at HeapSee David Robinson's Portfolio
  • Rasmus Bååth Headshot
  • James Chapman Headshot
  • Colin Gillespie Headshot