University of Michigan - Wearable Technologies and Sports Analytics
- Offered byCoursera
- Public/Government Institute
Wearable Technologies and Sports Analytics at Coursera Overview
Duration | 28 hours |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Intermediate |
Official Website | Explore Free Course  |
Credential | Certificate |
- Overview
- Highlights
- Course Details
- Curriculum
Wearable Technologies and Sports Analytics at Coursera Highlights
- Reset deadlines in accordance to your schedule.
- Shareable Certificate Earn a Certificate upon completion
- 100% online Start instantly and learn at your own schedule.
- Course 4 of 5 in the Sports Performance Analytics Specialization.
Wearable Technologies and Sports Analytics at Coursera Course details
- 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.
Wearable Technologies and Sports Analytics at Coursera Curriculum
Introduction to Wearable Technology
Welcome to the Course!
Introduction to Wearable Technology
Wearable Technology Sensors
The Wearables of Athletics
Wearable Technologies Course Syllabus
Help Us Learn More About You
Introduction to the Gamut Workbook
More About Sensors
Jumping Into the G-Vert
Week 1 - Assignment Instructions
Week 1 - Sample Notebook
Do You Know Your Wearables?
Analyzing an Entire Season of Jumping in Volleyball
External Loads of Wearable Technology
External Loads of Wearable Technology
Training and Performance Measures
Predicting and Preventing Injury
Machine Learning with Boxing: Identifying Striking Patterns
Week 2 - Assignment Instructions
Week 2 - Sample Notebook
Do You Know Your External Wearables?
Machine Learning and ACWR
Applying ACWR to a Soccer Team Dataset (Part 2)
Internal Measures of Wearable Technology
Internal Measures of Wearable Technology
Is HR a Passé Measure of Stress? What Can Other Measures Add?
What Is So Magical About Heart Rate Variability?
Evaluating Multiple Internal Measures -- Which Is Best?
Difference Between Chest-Strap and Wrist-Strap HR Data
Week 3 - Assignment Instructions
Week 3 - Sample Notebook
Internal Measures and the Information They Provide
Evaluating Game Intensity (Part 2)
Combination of Internal and External Wearable Technology
Benefits of Combining Internal and External Meaures
Evaluating External Load Relative to the Internal Load
Evaluating Internal and External Measures Together to Determine Metrics
Estimation of Fitness (Firstbeat Method)
Garmin Metrics
Stryd
Week 4 - Assignment Instructions
Week 4 - Sample Notebook
Internal and External Metrics
Calculate a "Training Intensity Variable" Using External Load and HR Data for a Field Hockey Team (Part 2)
Global Metrics
Introduction to the Attraction and Dangers of ?Global Metrics?
Which Wearable Metrics Do We Not Have a Gold Standard to Compare Against?
Which Wearable Metrics Can We Actually Validate?
Global Metrics Example: Sleep Score
Testing the Validity of the REM Sleep Measure via Direct Measure With Sleep Study
Future of Hydration Prediction
(Optional) The Original Validity Testing of REM Sleep
Week 5 - Assignment Instructions
Week 5 - Sample Notebook
Post-Course Survey
Global Metrics
Performance Metrics Assessment Quiz
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