Module #1 Introduction to Sports Analytics Overview of sports analytics, its importance, and applications in various sports
Module #2 Data Sources in Sports Analytics Exploring various data sources used in sports analytics, including APIs, spreadsheets, and data feeds
Module #3 Data Visualization in Sports Analytics Introduction to data visualization techniques and tools for effective communication of sports data insights
Module #4 Excel for Sports Analytics Using Microsoft Excel for data manipulation, analysis, and visualization in sports analytics
Module #5 Python for Sports Analytics Introduction to Python programming language and its libraries for data analysis and visualization
Module #6 R for Sports Analytics Introduction to R programming language and its libraries for data analysis and visualization
Module #7 SQL for Sports Analytics Using SQL for data extraction, manipulation, and analysis in sports analytics
Module #8 Tableau for Sports Analytics Using Tableau for data visualization and business intelligence in sports analytics
Module #9 Power BI for Sports Analytics Using Power BI for data visualization and business intelligence in sports analytics
Module #10 SportsCode for Video Analysis Using SportsCode for video analysis and tagging in sports performance analysis
Module #11 Hudl for Video Analysis Using Hudl for video analysis and sports performance analysis
Module #12 Statcast for Baseball Analytics Using Statcast for advanced baseball analytics and metrics
Module #13 Next Gen Stats for NFL Analytics Using Next Gen Stats for advanced NFL analytics and metrics
Module #14 OptaPro for Soccer Analytics Using OptaPro for advanced soccer analytics and metrics
Module #15 Injury Prediction and Risk Analysis Using machine learning and statistical models for injury prediction and risk analysis
Module #16 Player Performance Analysis Using advanced metrics and statistical models for player performance analysis
Module #17 Team Performance Analysis Using advanced metrics and statistical models for team performance analysis
Module #18 Game Strategy and Decision Analysis Using data analytics for game strategy and decision analysis
Module #19 Fan Engagement and Marketing Analytics Using data analytics for fan engagement and marketing strategies
Module #20 Wearable Technology and Biomechanics Using wearable technology and biomechanics for sports performance analysis
Module #21 Computer Vision for Sports Analytics Using computer vision and machine learning for sports analytics and performance analysis
Module #22 Machine Learning for Sports Analytics Using machine learning algorithms for sports analytics and prediction
Module #23 Predictive Modeling for Sports Analytics Using predictive modeling techniques for sports analytics and forecasting
Module #24 Big Data and IoT in Sports Analytics Using big data and IoT for sports analytics and performance analysis
Module #25 Course Wrap-Up & Conclusion Planning next steps in Sports Analytics Tools and Software career
