From goals to graphs: Analyzing FIFA World Cup soccer data with Python

The FIFA World Cup has generated decades of data: scores, goals, upsets, records, and so much more. In this workshop, Le Wagon instructor Enrique Ramirez will walk you through transforming raw numbers into meaningful insights using Python and data visualization.

Real sports data makes for the best learning material. You'll use Python to explore match results, team performances, goals scored, and tournament trends, then turn those numbers into clear, compelling visuals.

We'll work in Google Colab, free, browser-based, and nothing to install.

Curious minds interested in data analysis, sports, storytelling, or learning Python in a practical hands-on way. No coding experience required.

✅ Python fundamentals for data analysis

✅ Understanding and exploring real-world datasets

✅ Creating clear and impactful visualizations

✅ Identifying trends and insights from FIFA World Cup data

✅ Using data storytelling techniques to communicate findings