
The problem isn't a lack of passion for football. It's not knowing how to translate data into decisions. Without mastering modern football analysis tools:
- You don't interpret the advanced metrics (xG, xA, PPDA) used by elite clubs.
- You don't master Power BI, Python, or Tableau to visualize and communicate data.
- You don't apply AI and Machine Learning to predict performance.
- Your profile doesn't stand out among analysts already specialized in the market.


There are free resources and basic data courses, but none of them train you with the depth, technology, and real-world application that today's professional football demands.
Real Application: Work with real team and player data (Opta, StatsBomb, Wyscout, and GPS).
Prestigious Qualification: 8 ECTS course with its own qualification endorsed by UTAMED.
Elite Technology: Master Power BI, Python, Tableau, and Artificial Intelligence applied to professional football.
Without data or technology, decisions are based on intuition. With them, your professional judgment skyrockets.
The real skills you need to stand out:
You'll learn to interpret the advanced metrics (xG, xA, PPDA, Packing) used by elite clubs.
You'll master Power BI, Python, and Tableau to analyze and visualize sports data.
You'll apply Artificial Intelligence and Machine Learning to predict performance.
You'll integrate physical GPS data with the team's technical-tactical analysis.


- Professional football already makes data-based decisions.
- Without knowing how to interpret them with Power BI and Python, you compete at a disadvantage against already-trained profiles.

- Clubs aren't looking for generic analysts; they're looking for profiles that master Power BI, Python, and applied data.
- Positions in analysis and performance departments are limited and highly sought-after.

- Training in Data Analysis with Power BI puts you one step ahead of the rest.
- In modern football, whoever interprets data first, decides first and best.
The course is organized into 6 thematic blocks and 11 modules (8 ECTS) with a practical, career-oriented approach:
Block 1 – Fundamentals of Big Data and Data Science in Football: data ecosystem (Opta, StatsBomb, Wyscout) and advanced metrics (xG, xA, PPDA, Packing).
Block 2 – Data Analysis and Visualization: Python (Pandas, mplsoccer), Power BI, and Tableau to create dashboards and reports for coaching staff.
Block 3 – Artificial Intelligence and Machine Learning: classification and regression models, player clustering, Computer Vision, and AI applied to scouting.
Block 4 – Physical Data and GPS Technology: GPS and EPTS tracking, wearables, load management, and fusion of physical data with event data.
Block 5 – Professional Applications and Decision-Making: data in sports management, data-driven signings, benchmarking, and success stories (Liverpool, Brentford, Brighton).
Block 6 – Final Project (3 ECTS): complete analysis of a real team or player, an interactive dashboard with Power BI or Python, and a presentation before a professional panel.
It's not just another data analysis course. It's an 8 ECTS Training Course with its own qualification endorsed by UTAMED.
Start and format: 100% online training with open enrollment year-round. Access the content from day one and progress at your own pace.
Price: €1,200 | One-time payment or installments of 3, 6, or 12 months.
Certification: 8 ECTS course with FutbolLab – UTAMED's own qualification.

Don't miss the opportunity to specialize in data analysis and the technology already used by clubs around the world.

– Own 8 ECTS qualification endorsed by UTAMED.
– Real data from professional clubs (Opta, StatsBomb, Wyscout, GPS).

– Faculty actively working in clubs and professional analysis departments.

– Languages: Training available in English and Spanish.
– Facilities: Financing available in up to 24 installments.

– Coaches, analysts, and physical trainers who want to specialize in data analysis.
– Graduates in CAFD, INEF, or related fields seeking a professional profile specialized in data and technology.
– Football professionals who want to incorporate Power BI, Python, and AI tools into their daily work.
– Sports directors and scouts who need to base their decisions on real data.
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