The Sports Data and Analytics course offers students a comprehensive understanding of how data is transforming the world of sports. By combining principles from statistics, data science, and sports management, this course teaches learners how to collect, analyze, and interpret data to make strategic decisions in professional and amateur sports. Topics include performance analysis, injury prediction, fan engagement metrics, team strategy optimization, and the use of wearable tech data. Whether you’re a sports enthusiast, a data lover, or both, this course will equip you with practical skills to thrive in the growing field of sports analytics.
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Students pursuing careers in sports management or data science
No prior experience in either field is required, but familiarity with basic statistics or Excel will be helpful. The course starts with foundational concepts.
Students will gain hands-on experience with:
Microsoft Excel and Google Sheets
R for sports data modeling
Sports data platforms like Opta, Stats Perform, or wearable sensor data (if available)
Graduates can explore roles such as:
Sports Data Analyst
Performance Analyst
Business Intelligence Analyst (Sports)
Data Consultant for Sports Teams or Agencies
Fantasy Sports Strategist
Yes, the course includes real-world projects such as:
Analyzing team/player performance
Visualizing sports trends
Building predictive models (e.g., match outcomes, player injuries)
You’ll work with historical and live datasets from sports like football (soccer), cricket, basketball, and others depending on availability.
Yes, you will receive a certificate upon successful completion of the course. The certificate is issued by our UK-based awarding body, adding international credibility and value to your qualification.