- Course location
- Berlin
- Teaching language
- • English
- Language level of course
- • English: B2
- Date(s)
- •
6 January - 16 January 2026
- Information on dates, prices and mode of study
- Course fees are as follows:
• Student: 1,050 EUR
• Working professional/non-student: 1,250 EUR
Please note that students will be required to upload proof of their student status (student card/enrolment information) during the registration process.
- Target group
- This course can be useful for all students and working professionals, but especially those in STEM (Sciences, Technology, Engineering and Mathematics) fields and other disciplines that have a data analysis component (e.g. humanities).
- Description/content
- According to the 2022 annual Institute of Electrical and Electronics Engineers (IEEE) Spectrum survey of the top programming languages (source: https://spectrum.ieee.org/top-programming-languages-2022/ieee-spectrums-top-programming-languages-2022 (https://spectrum.ieee.org/top-programming-languages-2022/ieee-spectrums-top-programming-languages-2022)), Python continues to be the most popular programming language in job listings. In this course, the fundamentals of Python are covered, with a special focus on the skills necessary for in-depth data analyses and data visualisation. These two skills are fundamental in a wide range of disciplines, including but not limited to the STEM (sciences, technology, engineering and mathematics) and humanities fields of study.
In this course, we will cover the following:
• data types and compound data structures
• conditional statements and loops
• Python functions
• importing, exporting and analysing different types of data using pandas
• visualising data using Matplotlib and Seaborn
• bonus: developing interactive plots with Plotly
At the end of the two-week course, students will engage in a final personal data analytics and visualisation project, which they will work on and present.