The Sport Performance Analytics digital badge recognizes an earner’s ability to analyze, interpret, and apply data to optimize athletic performance and training strategies. Recipients gain expertise in performance metrics evaluation, video analysis, and data-driven decision-making to enhance athletic outcomes. Earners also develop skills in using advanced tools and technologies for analyzing athlete performance, creating reports, and identifying key performance indicators (KPIs). This badge equips individuals with the ability to bridge analytics with athletic strategy, making them valuable assets in sports performance and coaching roles.
Performance analysis entails the systematic evaluation of activities or procedures to improve productivity, efficiency, and alignment with set objectives or standards.
KPI reporting entails gathering, evaluating, and disseminating key performance metrics to monitor advancements toward objectives, guide decision-making, and share business results with stakeholders.
Video analytics is the use of software algorithms to analyze video content, detect patterns and events, and extract information for security, marketing, and operational purposes.
Data Visualization is the process of converting data into visual forms like charts, graphs, and maps to effectively communicate information.
Data Visualization Software refers to a set of tools designed to transform data into graphical representations, such as charts and interactive dashboards, enabling easier analysis and information sharing.
Reporting is the organized method of gathering, examining, and presenting data to offer valuable understanding and support decision-making in a business.
Ethical behavior refers to actions that align with moral principles, exhibiting honesty, fairness, and integrity while respecting individual rights and societal norms.
Data analysis involves examining, cleaning, transforming, and modeling data to reveal valuable insights, inform decisions, and support conclusions.
Information Technology & Computing Services
- Successful completion of SPM4703 and SPM3948C or SPM6709. - Successful completion of 2 LinkedIn Learning courses from the UNF Sport Analytics Collection. - Successful completion of a semester-long analytics project with the UNF Sport Data Analytics Lab.
UNF students who completed SPM4703 and SPM3948C or SPM6709.
Two semesters - First-semester coursework, second-semester SDAL project.
For more information, contact Dr. Sean Davis, s.davis@unf.edu.