Back to Wearable Technologies and Sports Analytics
University of Michigan

Wearable Technologies and Sports Analytics

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.

Status: Data Analysis
Status: Python Programming
IntermediateCourse28 hours

Featured reviews

SM

5.0Reviewed Nov 24, 2021

Love this course, love the content, love the assignments and Peter is great at explaining the terms and concepts

RA

5.0Reviewed Oct 12, 2024

Suitable course materials, good quizzes and perfect teaching style by professor Peter Brodary

All reviews

Showing: 9 of 9

JOSE EDUARDO LARIS ECHEVERRIA
1.0
Reviewed Jun 12, 2023
Deepak Ramani Edu
4.0
Reviewed Jul 6, 2023
Péter
3.0
Reviewed Aug 23, 2025
Nuwaira Abdullahi
5.0
Reviewed Oct 11, 2023
Sean Mais
5.0
Reviewed Nov 25, 2021
REMAS FAISAL HASSAN ALDAMOK
5.0
Reviewed Oct 13, 2024
Moulay Ali Elmghari Tabib
5.0
Reviewed Jul 30, 2023
Romain Collin
5.0
Reviewed Jul 31, 2022
Costanza Zanoletti
4.0
Reviewed Oct 7, 2024