Data visualisations are a powerful heuristic tool. They allow us to discover complex relationships in huge amounts of data and are used in science, business, politics and society. They can enrich discourse, support a narrative, be beautiful, but also mislead and deceive. Their benefits and dangers therefore require a critical and self-reflective understanding.
The course will examine theoretical and practical aspects of data visualisation in more detail. An insight into current approaches will be combined with an introduction to specific Python packages. At the end of the course, students will examine and visualise a data set of their choice with their own research question.

Please note: The event takes place weekly in person.

Language: German

Target group: Interested students from all semesters and disciplines. Basic knowledge of Python and ownership of a laptop are required.