There is a great need for expertise in sports analytics in professional sports. Organizations are now embracing analytics and technology more than ever. Athletes are now more aware of the impact of tracking their health and performance data. Sports Analytics is a growing field, where sports scientists with the skills provided in this course are strongly desired.
This course is designed to provide a basic understanding of sports analytics. It will provide you with the skills to work in a professional sports organization. This course begins with an introduction to the science of movement in sports and different types of key performance indicators that have been evidenced to affect performance. You will learn which are the most relevant key performance indicators, and how to collect and examine them effectively. Throughout this process of collecting key performance indicators, you will gain experience in how to leverage wearable technology to capture data such as internal and external load. Then a foundation in R and Rstudio, statistical software Will be provided where you will gain practical experience with basic statistical concepts and predictive analytics. Then, you will learn how to interpret your findings and translate them into relevant information that players, coaches, and staff can implement to enhance performance.
Introduction to Sports Analytics
€ 625
7 monthly payments of € 89.29
EXPERT ADVISORS
Lorena Martin
Assistant Professor of Clinical Data Sciences and Operations at the University of Southern California. Former Director of High Performance for the Seattle Mariners. Former Director of Sports Performance Analytics for the Los Angeles Lakers.
Angus Mugford
PhD CMPC Senior Vice President, New Jersey Devils (NHL)
Michael Grandner
Associate Professor in the Department of Psychiatry at the UA College of Medicine and the Director of the Sleep and Health Research Program at the University of Arizona.
CERTIFICATE
Courses' syllabus
Módulo 1: Science of Movement, Anatomy, and Physiology
Módulo 2: Physical and Physiological Key Performance Indicators
Módulo 3: Psychological and Environment Key Performance Indicators
Módulo 4: Comprehensive internal and external load quantification for Load Management
Módulo 1: Introduction to Wearable Technology –Non-Feedback and Feedback
Módulo 2: Evaluating the performance of Technology: Using Sleep Technology as an example
Módulo 3: How to choose a device
Módulo 4: Interpreting Data
Theoretical Statistical Knowledge of Sports Analytics
Módulo 1: Foundational Concepts of Statistics and Rstudio
Módulo 2: Exploratory and Descriptive Analytics in R
Módulo 3: Statistical Modelling in R
Módulo 4: Analytics in R
Módulo 1: Communicating Data
Módulo 2: Relaying information to Performance Staff. What to do and what not to do
Módulo 3: Relaying information to Front Office. What to do and what not to do
Módulo 4: Relaying Information to Coaches & Players. What To Do and What Not To Do
