Master Sports Analytics Course | Learn Data Analysis in Sports in 4 weeks through hands-on, project-based online training with DSTC.
Data Science & Analytics
Module-by-module breakdown of Sports Analytics Course | Learn Data Analysis in Sports, from foundations to a certified capstone project.
Outline
What is Sports Analytics? โข Role of Data in Sports Performance โข Traditional vs Data-Driven Sports Analysis โข Applications in Different Sports
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Types of Sports Data: Player Stats and Match Data โข Performance Metrics and Indicators โข Data Collection in Sports โข Importance of Accurate Data
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Analyzing Player Performance โข Team Strategy Analysis โข Trend and Pattern Identification โข Simple Data Interpretation
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Player Selection and Scouting โข Game Strategy and Decision-Making โข Injury Prevention and Fitness Monitoring โข Fan Engagement and Business Insights
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AI in Sports Analytics โข Technology in Modern Sports โข Career Opportunities in Sports Analytics โข Mini Learning Activity / Concept-Based Practice
e-Certificate and e-Marksheet issued on successful completion.