The football analysis course online at the Escuela Universitaria Real Madrid Universidad Europea is an innovative and highly specialised programme that offers a global view of the data ecosystems used in sports and football.
You will learn to work with the data processing and visualisation tools used by analysts in football clubs. You will study information from event capture and sports tracking in order to prevent injuries, improve team performance and inform decisions for training academies.
This football analysis course online has a 100% online methodology to allow you to study at your own pace and get a certification in less than three months.
Private degree issued by Universidad Europea de Madrid
| Escuela Universitaria Real Madrid Universidad Europea | Faculty of Medicine, Health and Sport | Title you will receive: Certified Program in Football Data Analytics |
In this football analysis course online, you will learn to work with sports data to become a professional scout and improve the results of both teams and players.
Professional skills: discover how sports analysts from the best clubs work and the tools they use in their day-to-day work.
Big data: learn to analyse large volumes of data and how to apply that information to improve decision-making, game strategy and signings.
Specialisation: complete your profile with technical-tactical knowledge supported by data to access new professional development opportunities.
Learning by doing: study real cases, historical analysis and situations related to injury prevention, team and player behaviour, and youth academy management.
Analytical tools: learn to use programming tools and languages for the processing and visualisation of sports data. You’ll work with R, Pentaho, MySQL, Microsoft Power BI and Tableau.
The Course in Football Data Analytics study plan is made up of four modules that will provide you with practical, multidisciplinary and up-to-date training. All the material will be available on the virtual campus. The student will be receive the Certificate course in Football Data Analytics. The content included on the course includes:
Introduction to Sports Analytics. Sports Analytics methodology, DNA. Performance indicators, KPIs.
Data integration and quality. Databases - MySQL, ETL, Penthao.
R language. Microsoft Power BI. Tableau.
Wellness control and injury prevention. Sports scouting and talent detection. In-game management and tracking.
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Online application
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