Datum/Uhrzeit: bis, 09:00 bis 16:00 Uhr
Ort: Online

In this course, participants will learn the basics of Python and develop their skills in working with research data. You will be introduced to the use of libraries such as pandas and polars to import, clean, and transform data, as well as creating visualizations with matplotlib and seaborn.

03.05.2024 | 09:00 - 16:00
04.05.2024 | 09:00 - 16:00   Register here

You can register for the event one month before the event starts from 9am. With your registration you agree to our terms and conditions.


Dr. Thomas Köntges

Target Group
Doctoral researchers and Postdocs who have no previous experience in the Python programming language but would like to use it in the future.

Number of Participants

Course Description
In this course, participants will learn the basics of the Python programming language, with a particular focus on using Python for handling, visualising, and analysing research data. This course will introduce data wrangling techniques using libraries such as pandas and polars. With an emphasis on practical application, the course will guide participants through the process of importing, cleaning, and transforming data using these libraries. In addition to data wrangling, participants will also explore data visualisation using libraries such as matplotlib and seaborn to represent data graphically. Strategies for developing an efficient workflow centred around Python, and making use of Jupyter Notebooks as an interactive computational environment, will be highlighted. After the completion of this course, each participant should be able to confidently manage and analyse data, facilitating reproducibility in their projects. This course does not intend to cover in-depth statistical theory.

Notes for Workshop Participants: Python 3.10 or higher is required for this course. It is recommended to use a second screen for the course. This course does not cover in-depth statistical theory.

1 Credit Point can be obtained by attending this course. Please contact your faculty for the recognition of performance for the doctoral degree.


  • Dr Thomas Köntges
    Dr Thomas Koentges is the founder of You Say Data, a New Zealand-based digital upskilling and data analysis company. He  has lectured in Computer Science, Digital Humanities, and Data Science at Leipzig University and currently holds an honorary position as Fellow for Historical Language Processing and Data Analysis at Harvard University’s Center for Hellenic Studies. Dr Koentges is also a certified RStudio Education partner.