Module #1 Introduction to Sports Analytics Overview of the role of analytics in sports, including historical context and current trends
Module #2 What are Performance Metrics? Defining performance metrics and their importance in evaluating athlete and team performance
Module #3 Types of Performance Metrics Categorizing performance metrics into speed, strength, endurance, and other categories
Module #4 Data Collection and Sources Exploring data collection methods and sources, including wearable devices, video analysis, and more
Module #5 Cleaning and Preprocessing Data Best practices for preparing and cleaning performance data for analysis
Module #6 Measuring Speed and Acceleration Using GPS and accelerometer data to quantify speed and acceleration
Module #7 Sprinting Performance Metrics Defining and calculating sprinting metrics, including top speed, acceleration, and deceleration
Module #8 Jumping and Explosive Performance Metrics Measuring jumping height, force, and power using various methods
Module #9 Agility and Change of Direction Metrics Assessing agility and change of direction using cone drills and other methods
Module #10 Case Study:Applying Speed and Power Metrics in Soccer Real-world example of using speed and power metrics to inform training and tactics in soccer
Module #11 Measuring Endurance and Cardiovascular Fitness Using heart rate, VO2 max, and other metrics to quantify endurance
Module #12 Conditioning and Aerobic Capacity Metrics Defining and calculating conditioning metrics, including lactate threshold and aerobic capacity
Module #13 Pacing and Work Rate Metrics Analyzing pacing and work rate in individual and team sports
Module #14 Fatigue and Recovery Metrics Monitoring fatigue and recovery using heart rate variability, sleep, and other metrics
Module #15 Case Study:Applying Endurance and Conditioning Metrics in Basketball Real-world example of using endurance and conditioning metrics to inform training and game strategy in basketball
Module #16 Measuring Shooting Performance in Basketball Defining and calculating shooting metrics, including accuracy, volume, and efficiency
Module #17 Passing and Playmaking Metrics in Soccer Analyzing passing accuracy, completion rate, and other playmaking metrics
Module #18 Hitting and Batting Metrics in Baseball Measuring hitting and batting performance using metrics such as exit velocity and launch angle
Module #19 Rushing and Passing Metrics in American Football Defining and calculating rushing and passing metrics, including yards per carry and passer rating
Module #20 Case Study:Applying Skill-Specific Metrics in Tennis Real-world example of using skill-specific metrics to inform training and strategy in tennis
Module #21 Machine Learning and Predictive Modeling in Sports Analytics Using machine learning to predict athlete performance and identify trends
Module #22 Injury Risk and Return to Play Metrics Developing metrics to quantify injury risk and inform return-to-play decisions
Module #23 Team Performance Metrics Analyzing team performance using metrics such as scoring efficiency and defensive rating
Module #24 Game State and Situational Metrics Using game state and situational metrics to inform coaching decisions
Module #25 Communicating Performance Metrics to Stakeholders Best practices for presenting performance metrics to athletes, coaches, and executives
Module #26 Designing a Performance Metrics Project Developing a project plan for collecting and analyzing performance metrics
Module #27 Collecting and Analyzing Performance Data Hands-on experience collecting and analyzing performance data
Module #28 Interpreting and Communicating Results Interpreting results and presenting findings to stakeholders
Module #29 Case Studies in Performance Metrics Real-world examples of successful performance metrics projects
Module #30 Course Wrap-Up & Conclusion Planning next steps in Performance Metrics in Sports Analytics career
