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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 b...
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8.8

CourseMarks Score®

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Freshness

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Feedback

8.6

Content

Platform: Coursera
Video: 2h 5m
Language: English

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CourseMarks Score®

8.8 / 10

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Content Score

8.6 / 10
Video Score: 7.9 / 10
The course includes 2h 5m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 8.0 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 9.8 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

22 articles.
0 resource.
0 exercise.
17 tests or quizzes.

Table of contents

Description

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.

You will learn

Requirements

Basic knowledge of Data Analysis is required to start this course, as this is an intermediate level course.

This course is for

This course was made for intermediate-level students.

How much does the Wearable Technologies and Sports Analytics course cost? Is it worth it?

Access to most course materials is FREE in audit mode on Coursera. If you wish to earn a certificate and access graded assignments, you must purchase the certificate experience during or after your audit.

If the course does not offer the audit option, you can still take a free 7-day trial.
The average price is $12.8 of 234 Data Analysis courses on Coursera.

Does the Wearable Technologies and Sports Analytics course have a money back guarantee or refund policy?

Coursera offers a 7-day free trial for subscribers.

Are there any SCHOLARSHIPS for this course?

YES, you can get a scholarship or Financial Aid for Coursera courses. The first step is to fill out an application about your educational background, career goals, and financial circumstances. Learn more about financial aid on Coursera.

Who is the instructor? Is Peter F. Bodary a SCAM or a TRUSTED instructor?

Peter F. Bodary has created 1 courses that got reviews which are generally positive. Peter F. Bodary has taught 150 students and received a average review out of reviews. Depending on the information available, Peter F. Bodary is a TRUSTED instructor.
Clinical Assistant Professor of Applied Exercise Science and Movement Science
School of Kinesiology
University of Michigan
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.

8.8

CourseMarks Score®

N/A

Freshness

N/A

Feedback

8.6

Content

Platform: Coursera
Video: 2h 5m
Language: English

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