SPORTS DATA AND ANALYTICS
- Course Duration3 months
- Learning FormatOnline Learning
- Course Fee£ 125 GBP
Course Overview
The Sports Data and Analysis course equips learners with the skills and knowledge to apply data-driven strategies in sports. Designed for aspiring analysts, coaches, scouts, and data professionals, the course blends statistical methods, real-world performance metrics, and cutting-edge tools to help you make smarter decisions in sports environments. From understanding player performance to enhancing team tactics, this program combines theoretical insight with practical experience using tools like SQL, Python, Tableau, and more. You'll work on real datasets and complete a capstone project that mirrors the expectations of top-tier clubs and organisations.
Course Curriculum
- Provides an overview of sports analytics, its evolution, significance in modern sports, and how data-driven decisions impact team performance and strategy.
- Explores different types of sports data (performance, biometric, event, tracking) and methods of collection, validation, and categorization.
- Introduces tools such as Excel, SQL, and basic Python for organizing, cleaning, and managing large sports data sets effectively.
- Focuses on metrics and KPIs used to assess player and team performance across various sports. Covers video analysis and tagging methods.
- Covers key statistical concepts like averages, correlations, regressions, and probabilities relevant to interpreting and forecasting sports outcomes.
- Introduces predictive analytics, machine learning applications, and how AI is used to enhance coaching, scouting, and player development.
- Examines ticketing data, fan behavior, merchandising insights, and the role of analytics in marketing and revenue generation.
- Students work on a real-world analytics project, using data from a selected sport. Includes project presentation and analysis of global case studies.
Skills Covered
- • Data Analysis & Interpretation
- • Performance Metrics & KPIs
- • Predictive Modeling & Forecasting
- • Data Visualization (Power BI, Tableau)
- • SQL & Python for Sports Analytics
- • Strategic Team and Player Decision-Making
- • Fan Engagement and Business Analytics
- • Player Scouting Techniques
Why join this program?
- • Learn from real-world sports datasets and case studies.
- • Taught by experienced sports analysts and data professionals.
- • Career-focused curriculum with practical project work.
- • Gain hands-on experience with tools used by top teams and clubs.
- • Improve your employability in the growing field of sports analytics.
Course Objectives/key Features
- • Industry-aligned, job-ready curriculum.
- • Live sessions and flexible online access.
- • Capstone project with mentor feedback.
- • Hands-on experience with analytics tools.
- • Career coaching and interview preparation.
- • Certificate of Completion included.
Learning Outcomes
By the end of this course, learners will be able to:- • Collect and manage sports data using modern tools and platforms.
- • Apply statistical and visual techniques to interpret player and team performance.
- • Create dashboards and visual reports for coaching and business insights.
- • Build predictive models to enhance team strategy and performance.
- • Use analytics to improve recruitment, training, and fan engagement strategies.
Why Choose London Technology College?
- • Open to All – Whether you're brand new or brushing up your skills, our courses are designed to meet you where you are.
- • Practical Approach – Learn by doing, with hands-on exercises that reflect real-world office tasks.
- • Experienced Tutors – Our instructors bring real industry know-how and a passion for teaching.
- • Certificate of Completion – Add an accredited certificate to your CV or LinkedIn profile to boost your job prospects.
- • Flexible Learning Options – Study at your own pace, from anywhere in the world. Ideal for working professionals and international students seeking flexibility without compromising quality.
- • Job-Ready Skills – Get trained in tools and techniques that employers actually look for.
- • Support That Stays With You – Need help? Our team is here from start to finish—no question is too small.
- • Learn at Your Own Pace – Take your time or move quickly—the course is designed to adapt to your needs.
- • Hands-On Projects – Put your skills into action with tasks like reports, spreadsheets, resumes, and more.
Certificate of Completion
Earn a professional certificate from London Technology College upon completion. The credential validates your ability to apply analytics to real-world sports challenges, and demonstrates your competence to employers in the sports and data industries.
Earn Your Certificate in Sports And Data Analysis:
- • Industry-recognised certificate awarded by London Technology College.
- • Build a portfolio of sports analytics projects.
- • Learn cutting-edge tools like SQL, Tableau, and Python.
- • Prepare for roles in sports analysis, coaching, talent scouting, and marketing.
Frequently Asked Questions (FAQs)
No. This course is beginner-friendly and starts with foundational concepts. Basic computer skills are enough.
Yes. Each module includes practical exercises and you will complete a final capstone project based on real data.
Yes. The course is fully flexible with evening and weekend live sessions.
The course covers biometric data, performance statistics, game metrics, GPS tracking, and fan engagement data.
Data is gathered through wearables, GPS trackers, video analytics, sensors, and manual scouting systems.
Absolutely. It’s designed to serve both technical and non-technical learners interested in sports strategy and data.