- Enseignant-e: Maxime Walder
This course provides students with a comprehensive and practical foundation in applied quantitative methods using the statistical programming language R and the integrated development environment RStudio. It is designed for students seeking to develop transferable analytical skills for data-driven research, reporting, and decision-making across disciplines.
The course follows a progressive, hands-on approach structured around real-world data applications. It begins with foundational skills in data handling and statistical reasoning, then moves toward increasingly advanced analytical techniques and forms of output. Throughout, emphasis is placed on reproducibility, clarity of interpretation, and effective communication of results.
The philosophy of the class does not build on strong statistical background but instead uses applied approach and hands on approach to statistical analyses and data representation to perform valid statistical analyses with R. The idea is to enable student to think about the data and how to use R to solve practical issue with the data (changing the structure, coding data, merging data set), and perform meaningful analyses that helps understand the social reality it aims to analyse.