EX 530 Data Analytics for Sport Science
This course introduces the fundamental concepts of working with data in sport and exercise science. This includes how to evaluate, organize, analyze, interpret, and discuss data. Data is an important and growing part of exercise and sport science. We will consider "traditional" lab data (such as from motion capture and metabolic carts) as well as larger data sets (such as from wearables and athlete tracking systems). Conceptual understanding of data analysis will combine with practical applications and projects to give the student a comprehensive foundation for performing data analysis in various settings within the fields of exercise science, sport science, and athletic performance. Upon completion of this course, students should be able to properly use data to inform decisions about both research experiments and athlete performance/training.
Offered: Fall Semester All Years