Statistics and Probability for Data Science

The workshop will take place tentatively on August 1, 2022, on Zoom and Youtube Livestreaming

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

An absolute must-have knowledge for data scientists is statistics and probability. They gives us the language and tools to quantify the uncertainty of events and reason in a principled manner. Machine learning is about developing predictive models from uncertain data, with imperfect or incomplete information. We can manage this uncertainty using the theories and tools of these two disciplines.


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.


Henry Pascoe
Prof. Henry Pascoe

Henry Pascoe is an Assistant Professor at IE University in Madrid, Spain. He studies international relations using game theory and statistics. In particular, his research focuses on transnational terrorism, foreign aid, international organizations, and interstate conflict. Please see the research page for more information.

Schedule (Central European Summer Time - CEST)

Session Starts

Statistics and Probability for Data Science (Part I)

Short Break

Session Continues

Statistics and Probability for Data Science (Part II)

Session Ends

Event Recording