Sports

Level 1 - Exploration

Explore Sports Analytics Fundamentals

Taught by Marcus Thompson

About This Challenge

Enter the data-driven world of modern sports by understanding how analytics has transformed athletic performance and business decisions. Discover key metrics, data sources, and analytical approaches used across major sports leagues while exploring career paths in this exciting field.

What You'll Learn

Identify key performance metrics across major sports including basketball, football, baseball, and soccer
Understand common data sources and collection methods used by professional sports organizations
Recognize how analytics influences strategic decisions in player evaluation and game planning
Explain the evolution of data-driven sports management from Moneyball to modern AI applications
Evaluate career opportunities in sports analytics and identify required technical skills

Challenge Content

22 lessons

The Analytics Revolution in Sports

Welcome to Sports Analytics

8 Min

The Moneyball Revolution

7 Min

The Evolution of Sports Data

6 Min

Analytics Revolution Knowledge Check

10 Min

Explore an Analytics Transformation Story

25 Min

Metrics Across Major Sports

Understanding Performance Metrics

10 Min

Basketball Analytics Essentials

8 Min

Baseball and Football Analytics

8 Min

Soccer Analytics Fundamentals

7 Min

Sports Metrics Knowledge Check

10 Min

Data Sources and Collection

The Sports Data Ecosystem

9 Min

Tracking Technology Systems

8 Min

Data Providers and Platforms

7 Min

Data Sources Knowledge Check

8 Min

Explore a Sports Data Platform

25 Min

Career Landscape in Sports Analytics

Careers in Sports Analytics

10 Min

Types of Sports Analytics Roles

8 Min

Skills and Qualifications

8 Min

Breaking Into the Industry

7 Min

Career Landscape Knowledge Check

8 Min

Create Your Sports Analytics Overview

35 Min

Your Sports Analytics Journey Begins

5 Min

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Ratings & Reviews

Challenge Info

Level

Level 1 - Exploration

Subject

Sports

Progress

Rewards

Requirements

No prior analytics experience needed
Basic familiarity with at least one major sport helpful but not required
Interest in understanding how data drives modern sports decisions

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