Master Sports Analytics – From Beginner to Pro in 3 Months !

Master Sports Analytics Like a Pro! 200+ Students Already Learning How to Analyze Matches, Build Dashboards & Predict Outcomes.

graphs of performance analytics on a laptop screen
graphs of performance analytics on a laptop screen
3 Months Live

Live + Pre-recorded Course Lectuers

1 Months Internship

Chance to work on Real life Case Studies & Projects

10+ Live Projects

10+ Live projects and case studies on cricket & football

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Why Sports Analytics?

Build your career in the sports industry by learning real-world analytics techniques using IPL, EPL, and NBA data. Gain expertise in Python, Excel, Power BI, and Tableau while working on live data and projects.

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1. Welcome & Orientation

Landscape, tools overview, and real-world analytics impact.

Data types, sources, and Excel preprocessing.

2. Fundamentals of Sports Data

3. Key Metrics in Sports

Cricket, Football, Basketball metrics & applications.

4. Data Visualization

Cricket, FootbDashboards, heatmaps, radar charts using Power BI/Tableau.all, Basketball metrics & applications.

Pandas, Matplotlib, Seaborn, cleaning, visualizations.

5. Python for Analytics

Use-case: IPL player comparisons, strike rate, trends.

6. Batting Analysis

7. Football Metrics

xG, pass maps, player comparison, EPL insights.

8. Predictive Modeling

Match outcomes, win predictor using Python models.

9. Scouting Techniques

MCDM, player scoring, radar charts, real-world use.

10. Dashboards & Simulations

Interactive dashboards, scenario modeling in Power BI.

11. Capstone Project

Mini project + visual dashboard submission & showcase.

12.Video Analysis

Realtime video analysis tools , performance metrics .

Our 3-Month Sports Analytics Course is packed with real-world projects, modern tools, and expert instruction to take you from a beginner to a confident analyst. Here's a breakdown of the modules and what you’ll master

Tools You Will Learn in Sports Analytics

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Head of Data Science | Sports Analytics Engineer | Data Visualization Specialist

🔹 Saiprasad Kagne

🧠 4+ years of experience in sports performance analytics, with a core focus on cricket.
🏏 Recently worked with: Royal Challengers Bengaluru (RCB) – Performance Data Analytics Unit
📈 Sussex County Cricket Club (UK) – Data-driven performance support
📊 Founder of BallTrack Analyzer – A cricket analytics platform offering ball-by-ball tagging, metrics, and visual dashboards.
📈 Created proprietary performance metrics:
🎓 Data Science Faculty at JIET, mentoring the next generation of data professionals.✍️ Actively shares match-based analytical breakdowns on LinkedIn, blending data science, storytelling, and strategic insights.🎓 Holds an MBA in Sports Management, with additional experience in sports writing and analytics across multiple sports.

Upon successful completion of the course, you'll receive a digitally verifiable certificate, endorsed by GrowSports. This certificate proves your skills in sports analytics and can be proudly shared on your LinkedIn, resume, or during job interviews.

Our alumni have gone on to work with some of the biggest names in the sports and tech industry. From top sports analytics firms to major brands and startups — your next opportunity could be here!

Priya Sharma – Delhi University
⭐️⭐️⭐️⭐️⭐️

“Being from a non-tech background, I was hesitant, but this course delivered more than expected! I loved the football analytics section and the weekly live support. The community is super active and supportive too.”

Rohan Mehta – SRM Institute
⭐️⭐️⭐️⭐️

“Very well-structured and beginner friendly. I especially liked the hands-on projects — Python modules and Power BI made me feel job-ready. I got shortlisted for a role at FanCode thanks to my final project!”

Aman Raj – IIT Delhi
⭐️⭐️⭐️⭐️⭐️

“I had no prior experience in analytics, but this course broke everything down so clearly. The mentors were super helpful and the real match case studies made it so practical. I even created a dashboard that got attention during my internship interviews!”

Sneha Iyer – Mumbai University
⭐️⭐️⭐️⭐️⭐️

“I was always interested in sports but didn’t know how to enter the analytics space. This course gave me the roadmap! The capstone project and certificate really boosted my confidence.

Review By Recent Students

Frequently asked questions

How long is the course and what’s the weekly time commitment?

→ The course runs for 3 months, with 2 live sessions per week and self-paced projects. Expect to invest 4–6 hours per week.
Do I need a background in coding or data science?

→ Not at all. We start from scratch and teach you everything — from Excel to Python, step by step.
Will I get a certificate after completion?

→ Yes, you’ll receive a professional, verifiable certificate and can showcase it on LinkedIn or resumes.
Do I get real hands-on experience?

→ Absolutely! You’ll work on real data sets, build dashboards, and complete a capstone project with feedback.
Is there any career support or internship after the course?

→ Yes, we offer a 1-month internship and support you with resume help, project reviews, and job connections.