Module 4: Analysing Data

Module 4: Analysing Data

This module provides a foundational understanding of how to analyse data, as well as the thought process behind how to analyse data effectively. Benjamin will emphasise the practical applications of analysing data in a sports science context. Throughout the lessons, you will gain valuable insights into:

• Strategic Decision-Making: Highlights the importance of using data-driven insights to make informed decisions in training, game strategies, and overall performance management
• Sorting and Filtering Data: Organising sports data through sorting and filtering enables efficient identification of important trends, outliers, and performance metrics.
• Exploring Trends in Data: Analysing trends in data helps recognise performance patterns, optimise training regimens, and prevent injuries by identifying signs of overtraining or fatigue.
• Understanding Relationships Between Variables: Recognising correlations between different variables (e.g., training load and performance) helps inform strategies for enhancing athletic performance and preventing injuries.

Upon completing this module, you will have a general understanding of how analyse data in your practice