Science des données 3 (2024-2025)

The goal of this course was to train data analysts capable of interpreting large volumes of data, with a particular focus on climate change. The students got familiar with some of the most important Python libraries to model and process problems linked to mathematics and IT (i.e., NumPy, Matplotlib, Pandas, seaborn, and GeoPandas). At the end of the course, they acquired:

• a solid general scientific culture
• the mastery of processing, modeling, and interpreting tools
• analytical thinking, initiative, and teamwork skills