Course Overview

This course provides a comprehensive introduction to sports data analytics, equipping students with the necessary knowledge and skills to analyze and interpret data in the context of sports.

Through a combination of theoretical concepts and hands-on practical exercises, students will explore various tools and techniques commonly used in the field. The course covers fundamental programming concepts, data manipulation, exploratory analysis, visualization, and effective communication of sports analytics insights.

Course Structure

Module 1: Introduction to Sports Data Analytics: Concepts and Applications
Module 2: Excel for Sports Data Analysis: Manipulating and Analyzing Data
Module 3: Python Programming for Sports Analytics: Foundations and Data
Manipulation.
Module 4: Python for Sports Analytics: Exploratory Data Analysis and Visualization
Module 5: SQL for Sports Data Analysis: Retrieving and Filtering Data
Module 6: SQL for Sports Data Analysis: Advanced Querying and Aggregation.
Module 7: Tableau for Sports Data Visualization: Creating Interactive Dashboard.
Module 8: Tableau for Sports Data Visualization: Advanced Visualizations and.
Module 9: Effective Data Storytelling: Presenting Sports Analytics Insights.
Module 10: Masterclass Series for Sports Analytics Professionals.

Course Aims

• Develop a thorough understanding of sports data analytics and its relevance in the sports industry.
• Equip students with the necessary programming skills to analyze and manipulate sports data effectively.
• Enable students to retrieve, filter, and analyze sports data using database querying techniques.
• Familiarize students with data visualization principles and techniques for effectively presenting sports analytics insights.
• Develop proficiency in data analysis using spreadsheet software for sports-related datasets.
• Enhance student’s ability to communicate and present sports analytics findings in a clear and compelling
  manner.