Introduction to Sports Analytics


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four months



An introduction to sports analytics is a comprehensive training course aimed at providing participants with the skills and knowledge needed to analyze footballers’ performance and understand various aspects of matches strategically and tactically. A range of key topics will be covered in the course, From key performance indicators to clad technology and theoretical statistical knowledge of sports analytics.

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Learn To

  • Understand basic fundamentals of measurement and assessments in sports
  • Develop statistically sound and robust analytic solutions
  • Transform data into actionable insights
  • Examine different sports case studies using programming, analytics, and data visualization.

Aimed To

  • Sports Scientists currently working in collegiate and professional sports seeking to gain new knowledge and provide their team and athletes with an advantage through the implementation of the applied knowledge from this certificate program. It is also designed for those seeking the technical and applied sports analytics skills needed to obtain a position in a collegiate and professional sports organization as a sports scientist and or sports performance staff.



Course 1: Key Performance Indicators

  • Module 1: Science of Movement, Anatomy, and Physiology
  • Module 2: Physical and Physiological Key Performance Indicators
  • Module 3: Psychological and Environment Key Performance Indicators
  • Module 4: Comprehensive internal and external load quantification for Load Management

Course 2: Wearable Technology

  • Module 1: Introduction to Wearable Technology –Non-Feedback and Feedback
  • Module 2: Evaluating the performance of Technology: Using Sleep Technology as an example
  • Module 3: How to choose a device
  • Module 4: Interpreting Data

Course 3: Theoretical Statistical Knowledge of Sports Analytics

  • Module 1: Foundational Concepts of Statistics and Rstudio
  • Module 2: Exploratory and Descriptive Analytics in R
  • Module 3: Statistical Modelling in R
  • Module 4: Analytics in R

Course 4: Art of communicating the data

  • Module 1: Communicating Data
  • Module 2: Relaying information to Performance Staff. What to do and what not to do
  • Module 3: Relaying information to the Front Office. What to do and what not to do
  • Module 4: Relaying Information to Coaches & Players What to do and what not to do

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Introduction to Sports Analytics
Introduction to Sports Analytics
Champions Global
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