How to Deal with Messi Data

Working with messy, real-world data is one of the most important skills for any data scientist—and what better dataset to explore than the performance of one of the greatest players of all time? In this session, you’ll dive into soccer analytics and learn how data is used to quantify player performance, using Python to turn raw match data into meaningful insights.

In this code-along webinar, Pegah Rahimian, a Soccer Analytics Researcher at Uppsala University, will guide you through analyzing World Cup player data with a focus on Lionel Messi. You’ll calculate key performance metrics, explore patterns in gameplay, and learn how to structure your analysis using Python. This session is perfect for data scientists and soccer fans who want to sharpen their skills on a fun, real-world dataset.