Master 2025/2026

Selected Topics in Data Science

Type: Elective course (Data Analytics for Politics and Society )

Delivered by: Department of Political Science and International Affairs

When: 1 year, 4 module

Open to: students of one campus

Instructors: Yaroslav Snarski

Language: English

Course Syllabus

Abstract

During the course students will use Python and JupyterLab for Windows as a tool for data processing and statistical computations. Students are assumed to be familiar with high school math program, have basic computer literacy and some programming experience in R, Python or Julia, have courses of university level in statistics (e.g. Statistics 101), and be willing to work hard to learn the essentials of data science.