Executive Development Programme in Player Performance Data Analysis

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The Executive Development Programme in Player Performance Data Analysis is a certificate course designed to empower learners with essential skills in sports analytics. This program highlights the growing importance of data-driven decision-making in the sports industry, where performance analysis contributes to improved team strategies, talent scouting, and player development.

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With the increasing demand for data analysts in sports organizations, this course offers a timely and valuable opportunity for career advancement. Learners will gain hands-on experience with industry-standard tools and techniques, enabling them to interpret complex datasets and turn insights into actionable strategies. By bridging the gap between data analysis and practical sports applications, this course equips learners with a competitive edge in the dynamic and exciting field of player performance data analysis.

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โ€ข Data Collection Methods in Sports: An overview of various data collection methods, including manual notation, wearable technology, and optical tracking systems, used in sports performance analysis.
โ€ข Data Analysis Techniques: Introduction to statistical methods and data analysis techniques, including descriptive statistics, inferential statistics, and predictive modeling, for analyzing player performance data.
โ€ข Visualization Tools for Player Performance Data: Hands-on training with visualization tools, such as Tableau, Power BI, and R, to create interactive and informative visualizations of player performance data.
โ€ข Performance Metrics in Team Sports: Deep dive into performance metrics, such as possession, passing, and shooting statistics, used to evaluate player and team performance in team sports.
โ€ข Injury Prevention and Recovery Analysis: Analysis of injury data and development of strategies for injury prevention and recovery, including load management and return-to-play protocols.
โ€ข Data-Driven Decision Making in Sports: Examination of how to use data to inform coaching decisions, including tactical and strategic decisions, talent identification, and game planning.
โ€ข Ethics in Player Performance Data Analysis: Discussion of ethical considerations in the collection, analysis, and use of player performance data, including data privacy, informed consent, and data security.
โ€ข Emerging Trends in Player Performance Data Analysis: Overview of new and emerging trends in player performance data analysis, including artificial intelligence, machine learning, and natural language processing.

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EXECUTIVE DEVELOPMENT PROGRAMME IN PLAYER PERFORMANCE DATA ANALYSIS
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UK School of Management (UKSM)
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05 May 2025
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