Sports Analytics with Gaurav Sundararaman (starts 24th May)


  • Individuals who have heard about Sports Analytics but don’t know how to build a career out of it
  • Individuals who want to understand what is the scope of Sports Analytics in India and what are the various opportunities?
  • Individuals who want to understand  how to get into this field without any experience?
  • Individuals who want to understand the practical applications in Sports Analytics Companies in this space and the Future of Sports Analytics


  • Learn from Industry personnel with over 8 years of experience in working with Sports Teams and Sports Content
  • Practical knowledge on how to go about getting a Job and Future prospects
  • 6 Months Mentorship by the faculty
  • Certified Course
  • Live online practical class with assignments and projects
  • Limited batch size



Our instructor, is a cricket fanatic.

  • He holds degrees in Computer Science and Business administration and has used his skills and strengths from these fields to carve a unique niche in the cricket world
  • Spent four years helping international teams (countries and franchises) use advanced analytics to create a winning edge
  • Consulted the Champion West Indies team for the World T20 2016
  • Indian Cricket Team: Led a team of 10 members and created solutions and strategies
  • Represented RCB at the IPL Auction in 2015
  • Speaker at 9th Annual MIT Sloan Sports Analytics Conference, MIT Boston

Learning Objective

  1. Introduction to Sports Analytics and a primer on the basic concepts, functions & techniques used in Sports Analytics
  2. Data Lifecycle and Management – Tools available
  3. Types of analytics and the various contemporary applications
  4. Application of Performance analytics in Sports and Identification of KPI’s
  5. Data interpretation , Report generation and Showcasing insights
  6. Domain Knowledge vs Analytics Knowledge
  7. Opportunities across the globe in Sports Analytics and Roles and Responsibilities
  8. A Day as an analyst


24th May 2021 (8:00-10:00 PM IST) 

Sports Analytics – Primer

  • Why do we watch sport? 
  • Introduction and evolution of Sports Analytics
  • Why Sports Analytics? – Passion or Compulsion 
  • Difference between Statistics and Analytics
  • Class Assignment

25th May 2021 (8:00-10:00 PM IST)

  • Data Lifecycle and Management
  • Types of Data
  • Stages of Data in Sports
  • Class Assignment

27th May 2021 (8:00-10:00 PM IST)

  • Data Collection and Video Analysis
  • Tools and Job opportunities at each stage

30th May 2021 (11:00 AM-1:00 PM IST)

  • Application of performance analytics in Sports and identification of KPI’s 
  • Cricket, Tennis and Football – Domain Lessons, analyzing the sport and tools

31st May 2021 (8:00-10:00 PM IST)

  • Data interpretation and conversion of data into insights
  • Real world Data Visualization Examples across sports 
  • Presentation techniques to various stakeholders in a Sports Franchise

1st June 2021 (8:00-10:00 PM IST)

  • Group Assignments and Case Studies 
  • What a Typical Analyst would do in a job. 

3rd June 2021 (8:00-10:00 PM IST)

  • Sports Content and Data Journalism 
  • Leveraging numbers in Journalism and Social Media
  • Building Personal Brand 
  • Fan Engagement and Fantasy Sports
  • Fan Analytics and Future

4th June 2021 (8:00-10:00 PM IST)

  • Opportunities across the globe in Sports Analytics; roles and responsibilities
  • Indian Market Job Opportunities
  • Types of Jobs 
  • Roles and Responsibilities 
  • Companies in each space

 5th  June  (11:00 Am-1:00 PM IST) 

  • Final Day Presentations
  • Quiz

 6th June  (11:00 Am-1:00 PM IST) – Reserve Day

And Six Months of Mentorship


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