From sidelines to the podium: Mapping female olympic progress using python

International Women's Day is a call to recognize progress and identify the work still to be done. We’re honoring the spirit of IWD by mapping the journey of female athletes from the sidelines to the podium. Join us to turn over a century of Olympic history into a compelling narrative of social change.

Unlock the stories hidden in historical data.

In this hands-on workshop, you’ll use Python to analyze Olympic datasets spanning 1896-2020. By combining participation records and medal performance data, you'll uncover the relationship between opportunity and success.

We'll use Google Colab (free, browser-based, no installation needed).

Non-technical professionals, advocates, and curious minds interested in data analysis, sports history, or gender equality. No coding experience required.

✅ Python fundamentals for data analysis.

✅ Exploring and connecting multiple datasets

✅ Creating impactful visualizations

✅ Using data to tell compelling stories

2026 sessions are now open:

AI Software Development 🌐 | On campus / Online

Full-time: April 13 → June 12, 2026

Part-time: July 4 → December 11, 2026

Data Analytics 📊 | Online / Hybrid

Full-time: April 13 → June 12, 2026

Part-time: July 4 → December 11, 2026

Data Science & AI 🤖 | Online / Hybrid

Full-time: April 13 → June 12, 2026

Part-time: March 28 → Sept. 4, 2026