Registration for this course is closed. New TU Berlin Summer School courses will be posted here shortly.
Course fees are as follows:
Please note that students will be required to upload proof of their student status (student card/enrolment information) during the registration process.
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).
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), 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:
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.
Course fees are as follows:
Please note that students will be required to upload proof of their student status (student card/enrolment information) during the registration process.
Participants of the TU Berlin Summer School must meet the following requirement: level B2 English or equivalent
Hotel room (double occupancy)
Cultural programme sessions during the week after course hours (museum visits, guided walking tours, minigolf, lake excursions, etc.) and at the weekend (trips to other cities, such as Dresden, Potsdam or Leipzig)
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Master's degree
Doctorate
Language course/short course
