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Math Behind Moneyball: Sports Analytics
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Math Behind Moneyball: Sports Analytics

Master sports analytics and statistics using Excel. Learn how mathematics and probability help evaluate player performance and game strategies.

Course Cost

₹ 2,699

Beginner

Skill Level

59 Hours

Self-paced lessons

This comprehensive course explores the mathematical principles behind sports analytics, focusing on how probability, statistics, and analytics can improve team performance and decision-making. Students learn to use Excel for analyzing player statistics, evaluating game strategies, and making data-driven decisions in baseball, football, and basketball. The course covers advanced concepts like Monte Carlo simulation, regression analysis, and game theory while teaching practical applications in sports management.

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4.5

16,929 Enrolled

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English

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olive-leaves-logo

4.5

16,929 Enrolled

olive-leaves-logo

English

What you'll learn

  • Use Monte Carlo simulation to evaluate team performance

  • Apply regression analysis to assess player contributions

  • Calculate and interpret advanced sports metrics and statistics

  • Develop Excel-based analytical models for sports data

  • Evaluate game strategies using probability and mathematics

  • Understand and apply sabermetric principles

  • Implement statistical methods for player evaluation

  • Create predictive models for sports outcomes

Skills you'll gain

sports analytics
statistics
probability
excel analysis
monte carlo simulation
regression analysis
game theory
predictive modeling
data analysis
performance metrics

This course includes:

698 Minutes PreRecorded video

39 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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There are 12 modules in this course

This course provides a comprehensive introduction to sports analytics through mathematical and statistical analysis. Students learn to apply Excel-based analysis to evaluate player performance, team strategies, and game outcomes across multiple sports. The curriculum covers key concepts including regression analysis, Monte Carlo simulation, game theory, and performance metrics. Topics span baseball analytics (sabermetrics), football game strategy, basketball performance analysis, and sports betting mathematics.

Before you start

Module 1 · 3 Minutes to complete

Module 1

Module 2 · 6 Hours to complete

Module 2

Module 3 · 6 Hours to complete

Module 3

Module 4 · 3 Hours to complete

Module 4

Module 5 · 8 Hours to complete

Module 5

Module 6 · 8 Hours to complete

Module 6

Module 7 · 5 Hours to complete

Module 7

Module 8 · 5 Hours to complete

Module 8

Module 9 · 6 Hours to complete

Module 9

Module 10 · 6 Hours to complete

Module 10

Module 11 · 5 Hours to complete

Final Exam

Module 12 · 40 Minutes to complete

Fee Structure

Payment options

Financial Aid

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Math Behind Moneyball: Sports Analytics

Beginner

Skill Level

59 Hours

Self-paced lessons

Course Cost

₹ 2,699

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.