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Sports Data Analytics

Use data tools to interpret performance metrics and improve sports business outcomes.
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School

School of Sports Data

Program Duration

6 Weeks

Delivery Format

Online (with Live Sessions)

Start Date

February 3, 2026

Fee

$120

Certificate

Certificate Upon Completion

About Program

Data is transforming the way sports are played, managed, and monetized. From performance tracking and fan engagement to sponsorship decisions and ticketing, analytics sits at the center of the modern sports ecosystem. This program introduces participants to the fundamentals of sports data analytics, teaching how to collect, interpret, and apply insights that drive performance and business outcomes. Through case studies and hands-on tools, learners will explore how clubs, leagues, and brands are using data to gain a competitive edge.

Learning Objectives

By the end of this course, participants will be able to:

  1. Understand the role of data analytics in sports performance, management, and business.
  2. Work with leading tools for collecting, analyzing, and visualizing sports data.
  3. Apply analytics to areas like fan engagement, ticket sales, sponsorship ROI, and athlete performance.
  4. Build dashboards and reports that communicate insights clearly to stakeholders.
  5. Explore real-world case studies of how analytics has reshaped global and African sports organizations.

Hands-on Tools You’ll Learn

  • Excel & Google Sheets – for foundations in sports data analysis.
  • Tableau & Power BI – for interactive dashboards and visualizations.
  • Python (Pandas, Matplotlib, Seaborn) – for deeper analysis and automation.
  • SQL – for managing and querying sports databases.
  • R (optional track) – for statistical modeling in sports performance.
  • SportsCode, Hudl & GPS Tracking Systems – for applied performance analytics.
  • Social Media & CRM Tools (e.g., Sprout Social, HubSpot) – for fan engagement and marketing analytics.

Program Modules

Explore a comprehensive curriculum designed to provide practical knowledge and real-world skills, covering essential topics

Meet Your Instructor

Philip Okposo

Philip Okposo is a Data Analytics Trainer, Learning Management Specialist, and Adjunct Lecturer with an MSc in Data Science.

He has trained professionals at organizations like NLNG, Leadway, and NDIC, and lectures at Pan-Atlantic University and Nigerian University of Technology and Management. With expertise spanning AI, data analytics, and information systems, Philip combines academic excellence with real-world experience, inspiring the next generation of tech professionals.

Career Outcomes

This course develops the analytical skills needed to interpret and apply data in sports performance and business decision-making.

Graduates can work as sports data analysts, performance analysts, or business intelligence specialists in clubs, federations, and sports technology companies, using data to enhance performance and organisational outcomes.