Course · Starts August 19, 2026
Football PowerBI 360
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.
Overview
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 multiple 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 their skills into use in clubs across the world.
What you'll leave with
- Connect to data sources both locally and in the cloud
- Clean and merge multiple sources into a unified model
- Create custom metrics and KPIs for football performance
- Use visualisations to deliver clear, impactful analysis
- Export and share insights with your team or externally
- Apply skills to real cases: scouting, analysis, media, performance, rehab and more
Curriculum
Module 1
Hands-on projects
Practical work on real club datasets from day one — no toy data.
Module 2
Step-by-step recorded tutorials
Learn at your own pace with structured lessons you can revisit anytime.
Module 3
Real club scenarios
Scouting, performance, media, rehab — case studies pulled from real club workflows.
Module 4
Interactive final project
Build a complete, shareable club management dashboard with direct feedback.
Module 5
Lifetime access
Lifetime access to all course material and continuous first-hand support from our experts.
Course leader
Luis Mosquera Toscano
Football Data Coordinator, FIFA
Luis Mosquera Toscano is a seasoned sports analytics professional with over five years of experience managing football data projects and real-time data operations. He currently serves as Football Data Coordinator at FIFA, where he coordinates technological innovations in football data management.
Who it's for
- Experienced Python users moving into BI tooling
- Data scientists and sports analysts in football, basketball or ice hockey
- Club staff who need to publish dashboards stakeholders actually use
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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