Online Workshop: Introduction to Statistical Data Analysis with Python (EN)

Target Group

PhD students and postdoctoral researchers of all research areas

Content

This workshop provides a comprehensive introduction to the Python programming language for doctoral and postdoctoral researchers from various disciplines. Participants will gain a solid understanding of statistical data analysis methods and learn how to apply them with Python. They will also learn how to use the Python extension Matplotlib to visualise data and results.

The workshop alternates between content input and practical exercises. The practical exercises take place in small groups ("pair programming"). Active participation is essential.

You do not need to know how to write code or do statistics to attend this workshop. It is also suitable for doctoral students outside the STEM subjects. To ensure everyone gets an easy introduction and that we can adapt the methods and examples to suit your needs, we need to know what you already know and what subject you are studying. For this purpose, you will receive a link to fill out this survey before the workshop.

The workshop uses the online environment Codeanywhere. You must create an account on codeanywhere.com in advance. Unfortunately, accessing Codeanywhere from the Eduroam network without problems is not always possible. Please check this in advance and ensure that you can use Codeanywhere.

Trainer – Dr. Lea Schönberger

Lea Schönberger is a freelance science communicator who focuses on computer science and new technologies. She studied Computer Science with a minor in Latin at the University of Münster and Computer Science at the Technical University of Dortmund, where she completed her doctorate in August 2023. She is currently enrolled as a Comparative Literature and Classical Philology student at the Ruhr University Bochum.

Date

• 7 November 2024, 09:00 - 12:00 + 13:00 - 17:00 h

Registration

Please register via the »Graduates Virtual Campus«: www.b-tu.de/elearning/graduates