Informations du cours

This course is designed for Master's students to enhance their foundational knowledge of statistics and data analysis through hands-on experience. Students will acquire practical skills in representing various data structures and performing essential statistical analyses commonly used communication research, including descriptive analyses, regression analysis, and dimensionality reduction techniques, with an emphasis on visualizing and reporting key outputs effectively. In addition to quantitative methods, the course introduces advanced techniques (meta-analysis, automated text analysis, basic machine learning) and encourages critical reflection on contemporary methodological topics, such as open science. Students will also explore qualitative approaches to data analysis, enabling a comprehensive understanding of data visualization. By the end of the course, participants will be equipped to analyze and present data confidently and critically. Note: The course will heavily rely on statistical software R. Previous knowledge of R is encouraged but not necessary.