About The Data Science Summer School

The Data Science Summer School is a series of theoretical and practical workshops on the exciting methods and technologies currently employed by industry, government, and civil society to address the world's most complex problems today. It is organized by the Hertie School Data Science Lab with funding and support from the Hertie School and the Dieter Schwarz Foundation

Workshop Details

This hands-on introductory course is designed for beginners who want to start their journey in data science using Python. In just 4 hours, participants will learn the essential Python skills needed to work with data: from writing basic scripts to analyzing and visualizing real-world datasets. The course also introduces smart ways to use AI tools to accelerate learning, debug code, and explore new data science concepts. No prior experience required—just curiosity and a laptop!

Content Licensing

All workshop materials and recording are under Creative Commons Attribution-NonCommercial-ShareAlike 2.0 license. You are free to share — copy and redistribute the material in any medium or format, and adapt — remix, transform, and build upon the material. However, you must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use. You may not use the material for commercial purposes. If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.

Workshop Materials

To be updated

Instructor

To be updated

Schedule (Central European Summer Time - CEST)

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