Wearable Technologies and Sports Analytics
This course is part of Sports Performance Analytics.
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Sports Performance Analytics Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
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What you'll learn
Analyze wearable device data for training and performance insights
Interpret internal and external load measurements in athletics
Apply Python programming to sports performance data
Evaluate athlete recovery and training intensity metrics
Assess validity and limitations of wearable technology measures
Skills you'll gain
This course includes:
2.05 Hours PreRecorded video
11 quizzes
Access on Mobile, Tablet, Desktop
FullTime access
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There are 5 modules in this course
This comprehensive course explores the intersection of wearable technology and sports analytics. Students learn about various sensor technologies used in athletic monitoring, data collection methods, and analysis techniques. The curriculum covers both external and internal measures of athletic performance, combining physiological principles with data analysis. Through hands-on Python programming exercises, learners analyze real sports team datasets to understand training intensity, recovery, and performance optimization. Special attention is given to global metrics and the validation of wearable technology measurements.
Introduction to Wearable Technology
Module 1 · 5 Hours to complete
External Loads of Wearable Technology
Module 2 · 6 Hours to complete
Internal Measures of Wearable Technology
Module 3 · 5 Hours to complete
Combination of Internal and External Wearable Technology
Module 4 · 5 Hours to complete
Global Metrics
Module 5 · 5 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Sports Performance Analytics
Instructor
Clinical Assistant Professor of Applied Exercise Science and Movement Science
Dr. Peter Bodary is a clinical assistant professor of Applied Exercise Science and Movement Science, and director of Innovative Teaching and Learning at the University of Michigan School of Kinesiology. He teaches both undergraduate and graduate students about wearable technology in a course that encourages student-initiated experiments with technology. In addition, he collaborates with staff members from the University of Michigan Athletics Department and Exercise and Sports Science Initiative regarding the use of wearable technology for enhancing sport performance and reducing injury risk. He is a physiologist by training and has published widely in peer-reviewed journals on topics ranging from applied exercise physiology to basic science studies regarding cardiovascular disease pathology.
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