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

How can we run operations and analysis on large quantity of data? We need matrices to represent these data, process the network structure and learning operations to mine for insights. Linear Algebra is an essential branch of mathematics to help make running algorithms on massive datasets feasible. This workshop will help you to develop an understanding in this important branch of mathematics for data science.

[Syllabus to be updated soon]

Instructor

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


Registration