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SFU-002 - Module 5 (Learning Outcomes)
Springpod Team
Created on September 6, 2024
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Learning Outcomes
Here are six learning outcomes tailored for the work simulation you've just completed. These learning outcomes are designed to provide a broad range of competencies that are critical for a career in sports analytics, helping to build a strong foundation in this field.
Data Collection and Research Skills
Data Cleaning and Organisation
Data Analysis
Predictive Analysis
Data Visualisation
Report Writing and Presentation
Reporting and Presentation
Improve abilities in compiling comprehensive analytics reports and presentations that clearly communicate data analysis, visualisations, and predictive analysis to stakeholders.
Data Visualisation
Gain skills in using data visualisation tools and techniques to create easy-to-understand visual representations of complex sports data and analytics findings.
Data Analysis
Learn how to analyse sports data effectively to identify key performance indicators, trends, patterns, and correlations that impact a sports team's performance.
Data Cleaning and Organisation
Gain proficiency in using spreadsheet tools (Excel, Google Sheets) to clean, format, and organise collected sports data in preparation for analysis.
Predictive Analysis
Develop the skills to use analysed data and identified trends to make informed predictions about future performance outcomes for a sports team.
Data Collection and Research Skills
Develop the ability to identify, source, and gather relevant market intelligence data from various online resources and databases.