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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.
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