This book provides a helpful resource for anyone looking to use R for their research projects, regardless of their level of programming or statistical analysis experience

This is the website for the book *"Data Science - A First Introduction"*. You can read the web version of the book on this site

List of real-world examples of data analyses and visualization, provided with codes, datasets and the workshops recordings

This book empowers readers to weave Bayesian approaches into an everyday modern practice of statistics and data science

This book focuses on supervised or predictive modeling for text, using text data to make predictions about the world around us

Online version of the book published to Chapman & Hall/CRC (later in 2021)

From wrangling and exploring data to inference and predictive modelling

Applied Generalized Linear Models and Multilevel Models in R

L’objectif de cette formation est de vous faire découvrir la modélisation statistique bayésienne.

Wébinaire hebdomadaire sur l’analyse d’enquêtes avec R et RStudio, qui s'appuie sur le projet [analyse-R](https://larmarange.github.io/analyse-R/)