Courses

Whether you've worked in football for years or want to break into the industry, Twelve's courses help you apply data in smarter ways. No matter your experience level, there's something here for you, with practical lessons from those working inside the game.

Deep Learning & AI in Sport

September 1, 2026

Dr. Pegah Rahimian

For data scientists, researchers and analysts in football, basketball and ice hockey who want to move from off-the-shelf models to decision-grade AI systems used inside clubs, research labs and sports-tech companies.

Soccermatics Pro

May 17, 2026

Professor David Sumpter

The course that launched more careers in football data than any other.

Football Data for Decision Makers

February 9, 2026

Dominic Jordan

For Sporting Directors, technical leaders and decision makers who want to use data to improve long-term planning, recruitment and decision-making at their club.

Football PowerBI 360

August 19, 2026

Luis Mosquera Toscano

For experienced Python users, data scientists, and sports analysts working in football, basketball or ice hockey who want to take the next step and apply state-of-the-art Power BI tooling to real tracking and performance data.

Football Python 360

February 23, 2026

Luis Mosquera Toscano

For anyone looking to get started with or elevate their Python skills in football — including coaches, analysts, scouts, journalists, fitness staff, and data enthusiasts who want to apply Python step by step in real football scenarios.

Context Engineering for Football

February 22, 2026

Professor David Sumpter

A unique chance to get ahead of the game — learn how to build AI analysts for football using the methods we have developed at Twelve. Invite-only, for highly talented individuals willing to dedicate 10 hours a week.

Testimonials

"The course teacher dedicated time to sit with me individually, start from scratch, and write a customised step-by-step plan. This was going above and beyond and really assisted me as a relative beginner in Python."

Liam Cody

Pro Solutions Team Lead, StatsPerform

"Thank you for all this course does for the community. I'll be joining a Brazilian club as a data scientist in the upcoming weeks, and it is crystal clear that it would not happen without your course."

Rodrigo Salvador

Red Bull Bragantino

"I appreciated the course very much. I recommend it for anyone interested in gaining additional knowledge in data science and analysis in their organization."

Martin Vogelbein

Scouting, Match Analysis — Deutscher Fußball-Bund

"Especially the insight into presenting the results via Python Streamlit was a big game changer for me. We are now establishing this framework at TSG Hoffenheim."

Fabian Rupp

Business Intelligence & Data Analytics, Hoffenheim

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