Code Your Own Sports Analytics Dashboard

From player stats to performance insights, data science has transformed modern sports.

In this hands-on session, participants will experience how sports analytics works in practice by building a simple interactive dashboard with Python.
We’ll walk through a guided, end-to-end workflow:
loading and exploring a real sports dataset,
performing basic data transformations with pandas,
visualizing trends and comparisons,
and assembling everything into a lightweight Streamlit dashboard.

Rather than focusing on heavy implementation details, the session emphasizes how to think analytically about sports data and how to present insights clearly through visuals and interactivity.

Participants will leave with:
a working dashboard they can extend after the session,
a clear mental model of how data science is applied in sports,
and practical knowledge they can reuse beyond sports analytics.

A working interactive dashboard they can extend after the session. Understanding of end-to-end data science workflows applied to real datasets. Practical skills in Python, pandas, visualization, and Streamlit for broader use.