Learn R for Statistics
Hypothesis tests, regression, and Bayesian thinking, from first principles. Built for statisticians, researchers, and analysts. You write real R, run it in the browser, and watch it pass. No installs, no toy apps, no lectures.
11 projects, 275 hands-on levels, first project free.
Problems you will solve
- run a hypothesis test
- fit a regression model
- estimate a Bayesian posterior
By the end you can do real statistical inference in R.
What you will build
- Foundations: code through statistics
- R Foundations
- Vectors, Lists & the apply Family
- Data Frames from Scratch
- Probability & Distributions
- Descriptive Statistics & EDA
- Hypothesis Testing
- Linear Regression from Scratch
- Resampling & Simulation
- Time Series & Smoothing
- Capstone: A Statistical Analysis Engine
Start the Statistics track free.
Frequently asked questions
Do I need to know how to code to start Statistics?
No. The Statistical Computing in R track starts from the fundamentals and builds up, and the first project is free.
Do I need to install anything?
No. Every level runs in your browser and is graded the moment your code works. No R install, no setup.
What language will I write?
R. You write real R, run it, and get instant feedback across 275 hands-on levels.
Is it free to start?
Yes. The first project is free with no card. Unlimited access to all 33 tracks is $12 a month or $100 a year.