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Peter F. Bodary
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.
Read more
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.
Read more
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.
Register for this course and see more details by visiting:
OpenCourser.com/course/689unm/wearable
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What's inside
Syllabus
Introduction to Wearable Technology
In this module, we will introduce different types of wearable devices that are used by athletes and teams to improve training and recovery. We will start by highlighting what types of sensors are used within the wearable devices and how the data coming from these sensors can provide insights, such as training intensity and or physiologic “readiness”.
Read more
Syllabus
Introduction to Wearable Technology
In this module, we will introduce different types of wearable devices that are used by athletes and teams to improve training and recovery. We will start by highlighting what types of sensors are used within the wearable devices and how the data coming from these sensors can provide insights, such as training intensity and or physiologic “readiness”.
Read more
Traffic lights
Traffic lights
Read about what's good
what should give you pause and
possible dealbreakers
Provides an overview of the evolving use of wearable technology in sports sciences, providing a comprehensive foundation for understanding its applications in athlete training and monitoring
Employs real-world datasets from sports teams to offer practical insights into training, recovery, and performance optimization
Led by instructors with expertise in the field of sports analytics, ensuring the accuracy and relevance of the course content
Covers both external and internal measures of wearable technology, providing a holistic understanding of athlete monitoring
Designed for individuals with a background in sport sciences, exercise physiology, or related fields
Emphasizes the use of Python for data analysis, giving learners hands-on experience with a widely used programming language in sports analytics
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Reviews summary
Wearable tech & sports analytics essentials
According to students, this course offers a solid introduction to wearable technologies and sports analytics, providing a strong foundation in physiological principles relevant to athlete performance. Learners gain practical skills through hands-on engagement with large sport team datasets and Python programming, which is a key highlight. The curriculum is structured to explore both external and internal measures of athlete load, culminating in a nuanced understanding of training and recovery. While providing a valuable overview, some may find the Python components challenging without prior experience, and the course might require additional study for in-depth specialization beyond the introductory concepts. It is particularly useful for those seeking to apply data to injury prevention and performance optimization.
Serves as a strong introduction but may require further study for in-depth specialization.
"As an introduction, it covers the core concepts well, but advanced topics would need additional resources."
"The course provides a good overview, setting the stage for deeper dives into specific analytical techniques."
"I found it a solid starting point for understanding the field of sports analytics."
Covers a wide range of wearable tech applications and data types systematically.
"The syllabus outlines a broad exploration from basic sensors to global metrics, which is very thorough."
"I learned about various types of wearable devices and how to interpret both external and internal loads."
"Combining external and internal measures provides a holistic view of athlete performance."
Provides a strong grounding in relevant physiological principles for data interpretation.
"I found the physiological principles introduced to be crucial for understanding wearable tech data."
"The course clearly lays out how internal measures reflect an athlete's response to training stress."
"It connects the dots between exercise physiology and real-world data application effectively."
Practical application of Python with real-world datasets is a core strength.
"I appreciate the emphasis on using Python to explore concepts related to training and recovery."
"The opportunity to work with large sport team datasets sounds incredibly valuable for practical insights."
"This course seems to offer hands-on data analysis, which is essential for applied sports analytics."
May require prior Python knowledge for a smoother learning experience.
"I expect that learners without prior Python experience might find the programming sections challenging."
"For me, the Python part requires some prerequisite knowledge to keep up with the pace."
"While practical, the data analysis in Python may be a steep learning curve for absolute beginners."
Activities
Be better prepared
before
your course. Deepen your understanding
during
and
after
it. Supplement your coursework and achieve mastery of the topics covered
in Wearable Technologies and Sports Analytics with these
activities:
Review relevant statistics
Show steps
Improve understanding of statistical concepts used throughout the course.
Browse courses on
Statistics
Show steps
-
Review basic probability and statistical inference.
-
Review hypothesis testing and confidence intervals.
-
Practice solving applied statistics problems.
Compile a Glossary of Wearable Technology Terms
Show steps
Build a comprehensive glossary of key terms related to wearable technology to enhance your understanding of the subject matter.
Show steps
-
Gather terms from course materials and other sources.
-
Define each term clearly and concisely.
-
Organize the glossary alphabetically or by topic.
Connect with Professionals in Sports Technology
Show steps
Meet and connect with professionals in the field of sports technology to expand your network and gain insights into industry trends.
Show steps
-
Attend industry events and conferences.
-
Join online communities related to sports technology.
-
Reach out to individuals on LinkedIn.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Follow Tutorials on Wearable Technology Applications
Show steps
Explore online tutorials to enhance your understanding of how wearable devices are used in sports science and training.
Show steps
-
Search for tutorials on wearable technology in sports.
-
Follow step-by-step guides on using specific wearable devices.
-
Experiment with data analysis techniques used in wearable technology.
Practice Analyzing Wearable Data with Python
Show steps
Develop your ability to process and interpret wearable data using Python, a key skill in the field of sports analytics.
Show steps
-
Import data from wearable devices into Python.
-
Use Python libraries for data cleaning and visualization.
-
Practice extracting insights from wearable data.
Attend a Workshop on Wearable Technology in Sports
Show steps
Attend a workshop led by experts to gain hands-on experience with wearable devices and their applications in sports.
Show steps
-
Research available workshops.
-
Register for a relevant workshop.
-
Participate actively in the workshop.
Create a wearable data visualization dashboard
Show steps
Gain practical experience in visualizing and analyzing wearable data.
Browse courses on
Data Visualization
Show steps
-
Choose a wearable data source and collect data.
-
Explore and clean the data.
-
Design and develop a data visualization dashboard.
-
Interpret and analyze the results.
Create a blog post or article on the applications of wearable technology in sports
Show steps
Prepare a blog post or article to summarize and communicate the applications of wearable technology in the field of sports, showcasing your understanding of the course concepts.
Browse courses on
Sports Analytics
Show steps
-
Research and gather information on the topic.
-
Organize and outline the main points.
-
Write a draft of the article or blog post.
-
Revise and edit the content.
-
Publish and promote your work.
Develop a Training Plan with Wearable Metrics
Show steps
Design a personalized training plan that incorporates data from wearable devices to optimize performance and recovery.
Show steps
-
Analyze your current training data.
-
Research best practices for training with wearable metrics.
-
Create a customized training plan.
-
Monitor your progress and make adjustments as needed.
Build a Wearable Technology Dashboard
Show steps
Create an interactive dashboard that visualizes wearable data to enhance your monitoring and analysis capabilities.
Show steps
-
Gather requirements for the dashboard.
-
Design the dashboard's user interface.
-
Develop the backend for data processing.
-
Deploy the dashboard for use.
Review relevant statistics
Show steps
Improve understanding of statistical concepts used throughout the course.
Browse courses on
Statistics
Show steps
Show steps
Show steps
- Review basic probability and statistical inference.
- Review hypothesis testing and confidence intervals.
- Practice solving applied statistics problems.
Compile a Glossary of Wearable Technology Terms
Show steps
Build a comprehensive glossary of key terms related to wearable technology to enhance your understanding of the subject matter.
Show steps
Show steps
Show steps
- Gather terms from course materials and other sources.
- Define each term clearly and concisely.
- Organize the glossary alphabetically or by topic.
Connect with Professionals in Sports Technology
Show steps
Meet and connect with professionals in the field of sports technology to expand your network and gain insights into industry trends.
Show steps
Show steps
Show steps
- Attend industry events and conferences.
- Join online communities related to sports technology.
- Reach out to individuals on LinkedIn.
Seven other activities
Expand to see all activities and additional details
Show all ten activities
Follow Tutorials on Wearable Technology Applications
Show steps
Explore online tutorials to enhance your understanding of how wearable devices are used in sports science and training.
Show steps
Show steps
Show steps
- Search for tutorials on wearable technology in sports.
- Follow step-by-step guides on using specific wearable devices.
- Experiment with data analysis techniques used in wearable technology.
Practice Analyzing Wearable Data with Python
Show steps
Develop your ability to process and interpret wearable data using Python, a key skill in the field of sports analytics.
Show steps
Show steps
Show steps
- Import data from wearable devices into Python.
- Use Python libraries for data cleaning and visualization.
- Practice extracting insights from wearable data.
Attend a Workshop on Wearable Technology in Sports
Show steps
Attend a workshop led by experts to gain hands-on experience with wearable devices and their applications in sports.
Show steps
Show steps
Show steps
- Research available workshops.
- Register for a relevant workshop.
- Participate actively in the workshop.
Create a wearable data visualization dashboard
Show steps
Gain practical experience in visualizing and analyzing wearable data.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a wearable data source and collect data.
- Explore and clean the data.
- Design and develop a data visualization dashboard.
- Interpret and analyze the results.
Create a blog post or article on the applications of wearable technology in sports
Show steps
Prepare a blog post or article to summarize and communicate the applications of wearable technology in the field of sports, showcasing your understanding of the course concepts.
Browse courses on
Sports Analytics
Show steps
Show steps
Show steps
- Research and gather information on the topic.
- Organize and outline the main points.
- Write a draft of the article or blog post.
- Revise and edit the content.
- Publish and promote your work.
Develop a Training Plan with Wearable Metrics
Show steps
Design a personalized training plan that incorporates data from wearable devices to optimize performance and recovery.
Show steps
Show steps
Show steps
- Analyze your current training data.
- Research best practices for training with wearable metrics.
- Create a customized training plan.
- Monitor your progress and make adjustments as needed.
Build a Wearable Technology Dashboard
Show steps
Create an interactive dashboard that visualizes wearable data to enhance your monitoring and analysis capabilities.
Show steps
Show steps
Show steps
- Gather requirements for the dashboard.
- Design the dashboard's user interface.
- Develop the backend for data processing.
- Deploy the dashboard for use.
Career center
Learners who complete Wearable Technologies and Sports Analytics will develop knowledge and skills
that may be useful to these careers:
Sports Scientist
Sports Scientist
Sports Scientists use their knowledge of human physiology and biomechanics to improve athletic performance. They design and implement training programs, analyze data, and provide feedback to athletes. This course will help you build a foundation in the physiological principles that are relevant to exercise training and sport performance. You will also learn how to use wearable technology to quantify training and performance, which is an essential skill for Sports Scientists.
Strength and Conditioning Coach
Strength and Conditioning Coach
Strength and Conditioning Coaches help athletes improve their strength, power, and endurance. They design and implement training programs, monitor progress, and provide feedback to athletes. This course will help you build a foundation in the physiological principles that are relevant to exercise training and sport performance. You will also learn how to use wearable technology to quantify training and performance, which is an essential skill for Strength and Conditioning Coaches.
Athletic Trainer
Athletic Trainer
Athletic Trainers work with athletes to prevent, diagnose, and treat injuries. They also provide rehabilitation and conditioning services. This course will help you build a foundation in the physiological principles that are relevant to exercise training and sport performance. You will also learn how to use wearable technology to quantify training and performance, which is an essential skill for Athletic Trainers.
Personal Trainer
Personal Trainer
Personal Trainers help people improve their fitness and overall health. They design and implement training programs, monitor progress, and provide feedback to clients. This course will help you build a foundation in the physiological principles that are relevant to exercise training and sport performance. You will also learn how to use wearable technology to quantify training and performance, which is an essential skill for Personal Trainers.
Fitness Instructor
Fitness Instructor
Fitness Instructors lead group fitness classes, such as aerobics, yoga, and Pilates. They help participants improve their fitness and overall health. This course will help you build a foundation in the physiological principles that are relevant to exercise training and sport performance. You will also learn how to use wearable technology to quantify training and performance, which is an essential skill for Fitness Instructors.
Sports Psychologist
Sports Psychologist
Sports Psychologists help athletes improve their mental health and well-being. They provide counseling, support, and guidance to athletes. This course may be useful for Sports Psychologists because it provides insights into the physiological and psychological demands of athletic training and competition.
Exercise Physiologist
Exercise Physiologist
Exercise Physiologists study the effects of exercise on the human body. They develop and implement exercise programs for people with chronic diseases, such as heart disease, diabetes, and obesity. This course will help you build a foundation in the physiological principles that are relevant to exercise training and sport performance. You will also learn how to use wearable technology to quantify training and performance, which is an essential skill for Exercise Physiologists.
Data Scientist
Data Scientist
Data Scientists use data to solve problems and make decisions. They work in a variety of industries, including healthcare, finance, and retail. This course will help you build a foundation in data science skills, such as data analysis and visualization. You will also learn how to use wearable technology to collect and analyze data, which is an essential skill for Data Scientists.
Biostatistician
Biostatistician
Biostatisticians use statistics to analyze data in the field of healthcare. They work with doctors, nurses, and other healthcare professionals to design and conduct research studies. This course will help you build a foundation in statistics, which is an essential skill for Biostatisticians. You will also learn how to use wearable technology to collect and analyze data, which is an emerging area of research.
Health Policy Analyst
Health Policy Analyst
Health Policy Analysts analyze health policy issues and make recommendations to policymakers. They work in a variety of settings, including government agencies, think tanks, and advocacy organizations. This course will help you build a foundation in health policy, which is an essential skill for Health Policy Analysts. You will also learn how to use wearable technology to collect and analyze data, which is an emerging area of research.
Healthcare Administrator
Healthcare Administrator
Healthcare Administrators plan, organize, and manage healthcare organizations. They work in a variety of settings, including hospitals, clinics, and insurance companies. This course will help you build a foundation in healthcare administration, which is an essential skill for Healthcare Administrators. You will also learn how to use wearable technology to collect and analyze data, which is an emerging area of research.
Medical Device Sales Representative
Medical Device Sales Representative
Medical Device Sales Representatives sell medical devices to hospitals, clinics, and other healthcare providers. They work with doctors, nurses, and other healthcare professionals to identify and meet their needs. This course may be useful for Medical Device Sales Representatives because it provides insights into the needs of athletes and other healthcare consumers.
Pharmaceutical Sales Representative
Pharmaceutical Sales Representative
Pharmaceutical Sales Representatives sell pharmaceutical products to doctors, hospitals, and other healthcare providers. They work with doctors, nurses, and other healthcare professionals to identify and meet their needs. This course may be useful for Pharmaceutical Sales Representatives because it provides insights into the needs of athletes and other healthcare consumers.
Athletic Director
Athletic Director
Athletic Directors oversee the athletic programs at colleges and universities. They are responsible for hiring and firing coaches, scheduling games, and fundraising. This course may be useful for Athletic Directors because it provides insights into the needs of athletes and coaches.
Sports Agent
Sports Agent
Sports Agents represent athletes in contract negotiations, endorsements, and other business matters. They work with athletes to maximize their earning potential and protect their interests. This course may be useful for Sports Agents because it provides insights into the needs of athletes and the sports industry.
For more career information including salaries, visit:
OpenCourser.com/course/689unm/wearable
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Wearable Technologies and Sports Analytics.
Provides an in-depth understanding of the physiological adaptations to training.
Save
Provides a comprehensive overview of the scientific principles behind sports training.
Provides insights into the design and development of wearable technology for sports applications.
Offers practical guidance on the principles and methods of strength training.
Introduces the programming concepts in Python that are necessary for exploring sports data.
Provides a specialized focus on the cardiovascular health of athletes.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/689unm/wearable
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Level
Intermediate
Via
Coursera
Institution
University of Michigan
Instructor
Peter F. Bodary
Language
English
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This course belongs to a
collection
called
Sports Performance Analytics. It's comprised of five courses:
- Moneyball and Beyond
- Foundations of Sports Analytics: Data, Representation, and Models in Sports
- Prediction Models with Sports Data
- Introduction to Machine Learning in Sports Analytics
- Wearable Technologies and Sports Analytics (viewing)
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