- R Foundations track
- Data Analyst track
- First section of every specialization
- All tutorials and tools
- Auto-graded R exercises
- R Fundamentals certificate
Choose your plan.
Get access to full specializations, graded practice on real projects, and certificates employers can verify.
14-day full refund. Or $9 a month.
- Everything in Free
- Your Data Scientist track, in full
- Graded practice, XP and streaks
- A portfolio project
- Two certificates
- Unlimited validity for email mini courses
14-day full refund. Or $14 a month.
- All four specializations, in full
- Every certificate you can earn
- Portfolio projects, rubric-reviewed
- All 27 tools
- Living roadmap dashboard
- Founding price, locked for life
- Unlimited validity for email mini courses
- Everything in All-Access
- Central billing, one invoice
- Team progress dashboard
- Seat management
- Unlimited validity for email mini courses
Monthly billing is available: Single Track is $9/month and All-Access Pro is $14/month.
Taxes may apply and will be calculated at checkout.
Pay once. Pro for life.
Every All-Access feature, every future track and course, for as long as the site is online. Pays for itself in under four years versus annual, then never again. The founding price ends 31 October.
Five tracks. One credential each.
Start with the Data Analyst core, then specialize in the role you want. Every track takes you from concept to a portfolio and a certificate employers can verify.
Data Analyst
- Wrangle and tidy with dplyr and tidyr
- Every join type, plus non-equi and fuzzy joins
- Profile any dataset with skimr and DataExplorer
- Publication-quality charts with ggplot2 and patchwork
- Bigger-than-memory data with data.table and duckdb
- Report-ready tables with gt and gtsummary
- Interactive dashboards with plotly, leaflet and Quarto
- Reproducible, parameterized reports in Quarto
- Communicate findings that drive decisions
- LLM-assisted analysis with ellmer
- A capstone analytics project
- The Data Analyst certificate
Data Scientist
- The end-to-end ML workflow, leakage-free
- Regression and GLMs, done properly
- Random forests, XGBoost, LightGBM and CatBoost
- The tidymodels workflow: recipes, parsnip, tune
- Leak-free feature engineering and selection
- Nested cross-validation and Bayesian tuning
- Calibrated, cost-sensitive classification
- Clustering, PCA, t-SNE and UMAP
- Explainability with SHAP, ICE and ALE plots
- Deep learning (torch), NLP and LLMs with RAG
- Ship and monitor models with vetiver and plumber
- A capstone modeling project and certificate
Forecaster
- Decompose series with STL and X-13ARIMA-SEATS
- ETS, Holt-Winters and ARIMA with fable
- Dynamic harmonic regression, TBATS and Prophet
- State-space models and the Kalman filter (bsts)
- Volatility with ARCH/GARCH and Value at Risk
- Multivariate series: VAR, cointegration and VECM
- Hierarchical forecast reconciliation (MinT)
- ML and deep forecasting: DeepAR, N-BEATS, N-HiTS
- Conformal prediction intervals for time series
- Intermittent demand: Croston, ADIDA and TSB
- Rolling-origin backtesting and forecast value added
- A capstone forecasting project and certificate
Researcher
- Estimation and the bootstrap: BCa, jackknife, delta method
- Nonparametric, permutation and equivalence (TOST) tests
- ANOVA with contrasts, FDR and emmeans
- Regression strategies: splines, shrinkage, nomograms
- GLMs: negative binomial, zero-inflated, ordinal (DHARMa)
- Mixed-effects and longitudinal models (lme4, glmmTMB)
- GAMs (mgcv), quantile and robust regression
- Bayesian analysis with brms: HMC, LOO and WAIC
- Causal inference: DAGs, propensity scores, DiD, IV, RDD
- Survival analysis: Kaplan-Meier, Cox, competing risks
- SEM (lavaan), IRT, imputation (mice) and meta-analysis
- A capstone study and the Researcher certificate
R Developer
- Functional programming and metaprogramming (tidy eval)
- Object systems: S3, S4, R6 and S7
- Environments, scoping, closures and lazy evaluation
- Conditions, custom errors and fast debugging
- Profiling and performance (profvis, bench, vectorization)
- Compiled hot paths with Rcpp and RcppArmadillo
- Parallel and async R with future, furrr and mirai
- Build, document and release packages to CRAN
- Testing and CI with testthat and GitHub Actions
- Production Shiny with golem and shinytest2
- Data and deployment: duckdb, arrow, plumber, Docker
- A capstone package or app and the certificate
How you learn it
- Auto-graded exercises with instant feedback
- Progressive hints, never the answer
- Write and run real R as you learn
- Projects reviewed against a rubric
- A verifiable certificate per track
- A public profile to showcase your work
- A dashboard that resumes where you left off
- All 27 interactive tools, included
Learners who did the work, in their own words
About the free library and the teaching behind the credential.
The best free R stats site I've found. Clear explanations, live examples, and zero clutter. Absolute gold for learners.
This site helped me pass my technical interview. Practical R examples gave me the confidence to use statistics at work.
Every tutorial includes reproducible code and real datasets. r-statistics taught me regression better than my grad course.
Questions, answered
What is free, and what is Pro?
The R Foundations and Data Analyst tracks are free in full, every lesson, along with the opening section of all four specializations and the standalone tutorial library of 1,267 tutorials and 27 tools. You can even earn the R Fundamentals certificate at no cost. Pro unlocks the four specializations in full, the graded practice, the projects, your progress dashboard, and the career certificates.
What is the difference between Single Track and All-Access?
Single Track unlocks the shared core plus one specialization of your choice, with grading, and earns you two certificates. All-Access unlocks all four specializations, every certificate, all 27 tools, and the projects, for just $64 more a year. Most people start with All-Access to keep their options open.
Can I upgrade from Single Track to All-Access later?
Anytime, and you only pay the difference for the remainder of your term. Your progress, XP, and any certificate you have already earned carry over untouched.
Can I try before I pay?
Yes. Most of the site is free: every tutorial, the first lessons of every course, and all the tools. When you do upgrade, every paid plan carries a 14-day money-back guarantee: if Pro is not for you, email us within 14 days of your first charge for a full refund, no questions asked.
What happens to my work if I cancel?
Your exercises, certificates, and saved posts stay forever. You simply lose access to Pro-only grading and projects until you resubscribe. Founding members keep their founding price when they return.
The price you see today is the price you keep.
Founding rates end on 31 October. Enroll before then and your founding price stays locked for as long as you stay subscribed.
Start All-Access →Founding rate ends 31 October · shown in your local currency at checkout · taxes may apply and will be calculated at checkout