About
About Datanovia
The learning platform for the R & Python data-science community.
Our mission
We teach data science the way the work actually happens — practical, reproducible, and beautiful. Every lesson runs in your browser, every claim is backed by code you can execute, and our AI tutor, Prova, stays honest because the runtime is the judge.
What we teach
Six pillars — data visualization, biostatistics, machine learning, bioinformatics, pharma & clinical programming, and computational science & AI — bilingual in English and French, from your first plot to publication-grade analysis.
Built on a trusted body of work
Datanovia builds on the work of Alboukadel Kassambara — creator of widely used R packages and of practical guides read by hundreds of thousands of readers worldwide.
That same recipe-first, output-explained voice runs through every lesson.
Why it's different
Free, fast lessons teach the canonical answer — understanding is never gated. Pro adds leverage: Prova on your own data, Skills Practice badges, and guided learning paths. The free lessons stay complete — Pro is for going further, not for unlocking the basics.
How we got here
2010
STHDA launches — free R and statistics tutorials that grow to reach millions of readers a year and rank #1 for many of the questions data analysts actually ask.
2015–2018
The catalogue expands into machine learning, advanced analytics, and interactive visualization; ggpubr, rstatix, factoextra and survminer become everyday tools in labs worldwide.
2018
Datanovia is born — one polished home for R and Python, statistics, machine learning, and bioinformatics.
2026
Datanovia 2.0: reproducible, interactive, and AI-native — every lesson runs in your browser, and Prova keeps the AI honest because the runtime is the judge.
Built by a practitioner
Alboukadel Kassambara, PhD
Computational biologist · Data scientist · Founder of Datanovia & STHDA
Datanovia is the work of Alboukadel Kassambara, PhD — a computational biologist and data scientist who spent over a decade turning large-scale biological and clinical data into decisions. He is the author of the R packages used in labs worldwide — ggpubr, rstatix, factoextra, survminer and ggcorrplot — and of the practical guides this platform is built on.
PhD in Cancer Biology & Bioinformatics (INSERM, Montpellier) · 40+ peer-reviewed publications · 4 patents · creator of ggpubr, rstatix, factoextra, survminer & ggcorrplot.
180 reviews of our 8 books
In their words
My field is functional genomics, and i have found this site just recently. This is an absolutely terrific resource for cluster analysis using R. Great way to get some insights into ggplot2 too. Thank you very much!Datanovia website is really incredible. They understand the tools relevant to modern advanced scientific analysis--but teach it at the level of someone trying to build these skills from scratch. Incredible attention to detail.Datanovia is excellent, it’s extremely useful. It boasts very good techniques, elegant codes, and is well-written and organised. It’s one of the best of its kind.Learn data science the way the work actually happens
Free, runnable lessons for the global R & Python community — start today.