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Start 4 June 2026 05:48

Einde 4 June 2026

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Maximum Performance and Technology in Sports

Explore cutting-edge football analytics, AI, and machine learning technologies transforming modern performance analysis, scouting, and tactical decision-making.
via Coursera

2865 Cursussen


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Overzicht

This specialization explores the technologies transforming modern football, from advanced data analysis and machine learning to AI-powered scouting and next-generation performance systems. Across four applied courses, learners will trace the evolution of football analytics, build essential statistical and technical foundations, examine real-world tactical and scouting case studies, and discover the emerging innovations that will shape how teams train, recruit, and compete in the future.

The curriculum integrates event data, tracking data, live data, and machine-learning techniques with cutting-edge tools such as Large Language Models, computer vision, web scraping, contextual load monitoring, and automated tactical recognition. Through examples from elite football and pioneering research, learners will understand how AI is reshaping decision-making across performance analysis, talent ID, recruitment, coaching, strategy, and club operations.

Developed for analysts, coaches, scouts, and professionals seeking to future-proof their skills, the specialization emphasizes practical implementation. Across each module, learners apply concepts to match situations, evaluate data workflows, and experiment with emerging technologies.

By completing the program, they will gain a forward-looking, industry-ready understanding of how technology, automation, and intelligent systems will redefine performance and competitive advantage in football.

Lesprogramma

  • Course 1: How Did We Get Here?The Development of Analytics in Football
  • Course 2: Must-Know Concepts - Basic requirements for data analysis
  • Course 3: Future of data and technology in football
  • Course 4: Applied Football Analytics - Looking at real-world cases

Gegeven door

Marisa Sáenz


Vakgebieden

Data Science