Football Data Analytics - Machine Learning

FC Python's Football Data Analytics – Machine Learning course introduces intermediate-level learners to core machine learning and statistical modelling techniques applied to football. Topics covered include simple linear regression for modelling league performance against squad investment, k-means clustering for grouping shot creators, and using random forests to predict ticket sales. The material is aimed at those with some existing Python knowledge who want to extend their analytical toolkit into predictive and classification methods.

Delivered entirely online by FC Python, the course can be completed in a day or less and is structured around self-paced tutorials. Supplementary "Extra Time" sessions — short three-to-five-minute modules covering supporting skills such as pivot tables, finding datasets, and connecting to SQL databases — sit alongside the main content. No specific qualification or formal credential is mentioned for completing the course.