COURSES

Professional development for the modern game

Twelve’s online courses are built for sporting directors, coaches, scouts, analysts, and football professionals who want to deepen their understanding of the game and apply data in smarter ways. Whether you’re just starting out or already working with data in a professional role, there’s a course for you.  With practical lessons from those working inside the game, there’s value at every level — from mastering the fundamentals to refining a more advanced edge.

All courses

  • Football Power BI 360

    How get the most out of data as an analyst

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  • Deep Learning and AI in Sport

    Our most advanced course on AI in Football

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  • Soccermatics Pro

    The course that launches football data scientist careers 

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  • Data for Sporting Directors

    Make sure you are ahead of the modern game

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  • Football Python 360

    A beginners course to Python for football analytics

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Football Power BI 360

How get the most out of data as an analyst

This course equips football data scientists with the skills to master Power BI for real-world football analytics. You'll learn to connect and model data from sources, design interactive dashboards with advanced visuals, including Python integration. Through hands-on modules and real-case scenarios—ranging from scouting to physical data—you’ll build tools that support multiple departments within a football club. The course wraps up with a final project where you create a complete, shareable club management dashboard.

Over 500 analysts have now completed this course, taught by Luis Mosquera Toscano, and are putting into use their skills in clubs across the world.

When: September - October 2025

Price: €795 + VAT

Instructor and course designer

Luis Mosquera Toscano

Football Data Coordinator, FIFA

Deep Learning and AI in Sport

Our most advanced course on AI in Football

Twelve team up with Skillcorner to deliver the most advanced course in sport analytics. Tailored for participants with advanced Python skills, you will learn how to leverage cutting-edge AI methods on large data sets to analyze player performance, optimise strategies, and predict match outcomes in soccer and other sports.

The course combines theoretical foundations — deep learning, graph neural networks, autoencoders and transformers  — with a project work  — where you develop your own applications on tracking data and scout report databases. Pegah Rahimian, joined by David Sumpter, will lead you step-by-step through the skills. There is a lot of talk about the potential of AI. Learn how to put it to use.

When: September 2025

Price: €1095 + VAT

Instructor and course designer

Dr. Pegah Rahimian

Football Analytics Researcher, Uppsala University

Soccermatics Pro

The course that launches football data scientist careers

On our Flagship course, you will learn how to understand the game using mathematics, statistics, and machine learning. It offers the technical skills, in Python, needed to work as a data scientist at a football club or in the football industry. The course utilises data from leading data providers, including event, tracking, and physical data. Taught by Soccermatics author David Sumpter and supported by Twelve experts as tutors, the course also features guest lectures from world-leading practitioners and researchers working with data in football.

When: November 2025 - Januaru 2026

Price: €1695 + VAT

Instructor and course designer

Professor David Sumpter

Co-Founder & Head of AI, Twelve Football

Data for Sporting Directors

Make sure you are ahead of the game

This course provides a comprehensive guide to using data in football, covering everything from the history and types of data to advanced applications in player recruitment, tactical analysis, and coaching decisions. Led by Dominic Jordan, the only person to have worked at an executive level with both Elon Musk and Manchester United, the focus is on how to get the most out of data within your organisation. Real-world case studies — from Brighton’s playing style evolution to Brentford’s talent identification — anchor each module in practical, club-level insight.

By the end, participants will know how to structure a data department, integrate analytics into decision-making, and plan next steps tailored to their club’s context and budget. From National League to the Premier League, this course is built for Sporting Directors who want to make smarter decisions, avoid costly mistakes, and lead with confidence in a data-driven era.

When: February - March 2026

Price: €1195 + VAT

Instructor and course designer

Dominic Jordan

Cheif Data Officer, Twelve Football

Football Python

A beginners course to Python for football analytics

This course equips football analysts with the essential Python skills to unlock the power of football data in practice. Starting from the basics, you’ll follow a step-by-step journey through real-world cases, learning how to load, clean, transform, and visualize football data.

You’ll master key tools like Pandas, NumPy, BeautifulSoup, and Matplotlib, and learn to automate data collection from APIs and web sources. Through hands-on modules and practical applications—from match reports to scouting to building interactive apps—you’ll gain the confidence to use Python as a powerful tool across multiple departments in a football club.

The course concludes with a final project where you’ll develop a complete, shareable football web app in Streamlit. Already, hundreds of analysts are applying these Python skills to boost decision-making and innovation within clubs worldwide, under the guidance of instructor Luis Mosquera Toscano.

Start: January - Febuary 2026

Price: €795 + VAT

Instructor and course designer

Luis Mosquera Toscano

Football Data Coordinator, FIFA

Leagues and national organisations which have benefitted from our courses

Testimonials

"If you are interested in Analytics and Football, it’s an excellent learning resource and highly recommended."

Kenny McMillan, Aspire Academy.

"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.

"Learned a lot of new things and met incredible people. It was a great experience and I would highly recommend signing up for the course."

Mikha Gabechava, Head Scout, FC Dinamo Tbilisi.

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

Martin Vogelbein, Scouting, Match Analysis and Diagnosis, Deutscher Fußball-Bund.

"My Python coding was a weak area for me, and I really wanted to improve in this so I can be more responsive to the needs of the coach and team. It was a great course, with such useful skills being covered. There are so many analysts working in football, but so much mathematics missing from their skillsets."

Mark Carter, English FA.

"The course tutor dedicated time to sit with me individually, start from scratch, and write a customised step-by-step plan to wrangle one of the file formats I provided him. For me, this was going above and beyond his duties and really assisted me as a relative beginner in Python."

Liam Cody, Pro Solutions Team Lead - APAC & Americas, Statsperform.

"The course combined mathematics, programming, and real-life cases from industry experts - along with three obligatory hand-ins in Python. Being able to apply this course to own data sources and develop bespoke metrics makes this course recommendable."

Simon Eilersen, Football Data Consultant, Danish League.

"I enjoyed the course very much. I enjoyed the relaxed atmosphere, in which I was nevertheless able to gain some exciting insights. It was a great opportunity for me to get familiar with event and tracking data in the context of game analysis/scouting. 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.