Teaching

In the course of teaching quantitative methods for the social sciences, I have started to compile some course materials here.

Data Analysis

The Data Analysis course is designed for 3rd year undergraduate students in the “Mathematics for social sciences” and in the sociology tracks. It offers an introduction to Geometric Data Analysis: the lecture combines method presentations with real-world social science applications, and the tutorials focus on applying these methods to real datasets using the R software.

You will find some of the guided exercise solutions here.

Textual Analysis

I participated in the Pondicherry Social Science Winter School in November 2023, where I co-hosted the “Computational and Mixed Methods” workshop. During the workshop, I presented Max Reinert’s textual analysis method, which is now available in the “rainette” R package developed by Julien Barnier. This method was applied to data collected from matrimonial advertisements on an Indian website.

You can access the tutorials for the workshop here.

Textual Analysis with Mendak

To introduce text analysis in a “point-and-click” mode, one can use the Mendak application (here, or better, here).

You can access a (brief) tutorial in English here.

Teaching stats for social scientists in R

I gathered the teaching material used for teaching R for social scientists for a workshop with PhD students from the Sociology and Political Science Graduate School of Université Paris-Saclay (June 2025). The tutorials cover univariate, bivariate, MCA, textual analysis and a few functions that render data management easier in R.

You can access the tutorials (in French) for the workshop here.