The goal of the course is to improve students skills in data analysis in the physics environment.
After an initial introduction to the Python programming language (and its most widely used scientific libraries like Numpy, Matplotlib and Pandas), the students will be provided some real data from physics experiments belonging to different fields.
The students are expected to develop their own analysis strategy, while the teacher role is limited to provide them with useful hints and suggestion on how to proceed.
Firstly, they should be able to manipulate raw data and files, as provided from the experiments, in order to ease a following main analysis program.
Some scripting techniques and data handling methods will be shown but its up to them to take to take proper choices in the perspective of the final result.
After that, they have to use their programming and analysis experience (data analysis in the laboratory courses of previous years) to perform an efficient and flexible analysis. They should focus on the results and how to effectively reach them.
Finally, the are also expected to improve their skills in data visualization being able to choose the proper tool to make others focus on what is important in the performed analysis.