Informations du cours

Main page: https://indico.global/event/14058/

 

This block course provides a structured journey through essential and advanced topics in statistical data analysis, tailored for scientific research.

The program is divided into two weeks, each with a distinct thematic focus and practical component.

In the first week (Mo-Th), participants are introduced to fundamental concepts such as error propagation, bias correction, least squares fitting, and maximum likelihood estimation.
The material also covers multivariate analysis, sWeights, and MCMC-based unfolding techniques. Interactive notebooks enable hands-on engagement with real data and practical problem-solving, with all exercises and examples implemented in Python.

The second week (Mo-Th) builds on these foundations, delving into advanced statistical methods and their application to complex datasets. Topics include deeper multivariate techniques, advanced model fitting, and reproducible research workflows. The week features a mix of lectures and coding sessions, with all materials provided in Julia.

The course offers a step-by-step progression from basic to advanced statistical tools, emphasizing practical data analysis and interpretation through real-world examples and exercises.

By the end of the course, participants will have a solid grasp of modern statistical analysis techniques and the confidence to apply them in their own research.