This course explores how scientific computing is revolutionizing the world of football by leveraging Python for data analysis and decision-making. Participants will learn about popular applications of Python Scientific Computing & Data Science in football, including spatio-temporal tracking, event data analysis, Computer Vision, tactical insights, and player performance evaluation. The course is designed for beginner Python enthusiasts with intermediate football knowledge, aiming to democratize technology in the sports industry. The teaching method involves real-world use cases and examples to illustrate the impact of computational data in football. The intended audience includes individuals interested in sports analytics, data science, and Python programming.
Overview
Syllabus
Chiin-Rui Tan, Sara Nunnington - How Scientific Computing is advancing the world of Football
Taught by
EuroPython Conference