Wearable Technologies and Sports Analytics
About this course
Sports analytics now include massive datasets from athletes and teams that quantify both training and competition efforts. Wearable technology devices are being worn by athletes everyday and provide considerable opportunities for an in-depth look at the stress and recovery of athletes across entire seasons. The capturing of these large datasets has led to new hypotheses and strategies regarding injury prevention as well as detailed feedback for athletes to try and optimize training and recovery. This course is an introduction to wearable technology devices and their use in training and competition as part of the larger field of sport sciences. It includes an introduction to the physiological principles that are relevant to exercise training and sport performance and how wearable devices can be used to help characterize both training and performance. It includes access to some large sport team datasets and uses programming in python to explore concepts related to training, recovery and performance.
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What you'll learn
- understanding of wearable technology in sports
- ability to analyze large sports datasets
- skills in using Python for data analysis in sports
Course objectives
- to introduce the principles of wearable technology relevant to sports
- to demonstrate how data can be used to optimize athlete performance
- to provide practical experience with programming and data analysis
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