Learning outcomes

By the end of this course, students will be able to develop programmes for the collection, processing, analysis and visualisation of data; apply basic data science methods; critically interpret the results obtained; and produce reliable, well-documented and reproducible code.

Goals

To equip students with the basic programming skills (Python) required for data analysis and exploitation in a scientific context.

Content

Variables, control structures, functions, modular programming, array and dataset manipulation, scientific libraries, data visualisation, introduction to data science methods.

Language of instruction

French
Training Study programme Block Credits Mandatory
Master in Physics Finalité spécialisée en physique et data 1 2 Yes