Our aim is to equip our participants with the right skill set to apply in real world sport jobs, and prepare them for the real problems they would face in this settings. Learn how to collect and use data in sport, through practical exercises using real data sets from various sports and apply what you have learned directly to your work. Build understanding of opportunities and limitations of new and standard methods, including AI.
Basic skills in coding required.
Learning Outcomes
Designing efficient data collection strategies tailored to sports.
Understanding data architecture principles, including how to structure and store data for easy access and analysis.
Standardized injury definitions and classifications.
Injury mechanism coding.
Measurement error.
Integration of diagnostic, training, and recovery data into a cohesive data system.
Integration of diagnostic data from various sources into a cohesive data system.
Preprocessing and cleaning diagnostic data for analysis to ensure reliability.
Understanding the basics of prediction, and when to use regression and machine learning methods.
