Build your free r for free path
Your plan
Your beginner r for free plan
4 coursesabout 14.1 monthsat 8 hours a week (a steady evening habit most days of the week)
- 1Step 01
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.
beginnerfreeCodeCampR Programming Tutorial: Learn the Basics of Statistical Computing
2h · Free
- 2Step 02
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.
intermediateCourseraCertificateData Science Specialization (Johns Hopkins)
200h · Free
- 3Step 03
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.
beginnerCourseraCertificateGoogle Data Analytics Professional Certificate
240h · Free
- 4Step 04
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.