R for Non-Programmers - A Guide for Social Scientists

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

Data Science - A first introduction

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

R Screencasts

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

Bayes Rules !

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

Supervised Machine Learning for Text Analysis in R

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

Handbook of Regression Modeling in People Analytics

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

Modern Statistics with R

From wrangling and exploring data to inference and predictive modelling

Beyond Multiple Linear Regression

Applied Generalized Linear Models and Multilevel Models in R

Introduction à la modélisation statistique bayésienne

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](