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.

Workshop Details

Widely considered as one of the best programming languages for beginners, Python is a general purpose language that is currently the best choice for machine learning and deep learning research and application. The course will walk you through the basics of this language and how to use it to solve programming challenges.

Syllabus

You can download the syllabus here

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

• Course Github repository with code and data
• Solution to Exercise Notebook 1
• Solution to Exercise Notebook 2 (Check version 2)

Instructor

Schedule (Central European Summer Time - CEST)

Event Recording