Build your free r for free path
Pick your goal, your starting level, and how much time you have. We put the best free courses in the right order. No signup, no cost, and the link is yours to share.
Your beginner r for free plan
4 courses · about 14.1 months at 8 hours a week (a steady evening habit most days of the week)
R Basics
freeCodeCamp's 2-hour R introduction covers the core syntax fast: vectors, data frames, functions, and basic plotting. It is short enough to finish in one session, and it gives you a working feel for how R handles data before you commit to the longer courses.
R Programming Tutorial — Learn the Basics of Statistical Computing
2h · Free
R for Data Science (Johns Hopkins)
Johns Hopkins University's Data Science Specialization on Coursera is the gold standard for learning R in a real data science context. It covers R programming, data cleaning, statistical inference, regression models, and machine learning, all in R, and goes deep enough to qualify you for research and analyst roles that specifically ask for R. Note: you can audit it for free; the certificate requires payment.
Data Science Specialization (Johns Hopkins)
200h · Free
Data Analytics in Practice
Google's Data Analytics certificate is a practical, role-ready credential that covers data analysis workflows using SQL and R. It is aimed at people targeting data analyst roles rather than research positions, and the Google brand carries real weight with employers in industry.
Google Data Analytics Professional Certificate
240h · Free
Add Python for Industry Roles
Most data science job postings in industry ask for both R and Python, and switching between the two is common on analytics teams. freeCodeCamp's Data Analysis with Python course teaches NumPy, Pandas, and Matplotlib, the Python side of the data stack, so you are competitive for roles that list either language.