University of Michigan
Sports Performance Analytics Specialization
University of Michigan

Sports Performance Analytics Specialization

Predictive Sports Analytics with Real Sports Data. Anticipate player and team performance using sports analytics principles.

Taught in English

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Stefan Szymanski
Youngho Park
Wenche Wang

Instructors: Stefan Szymanski

12,696 already enrolled

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Specialization - 5 course series

Get in-depth knowledge of a subject

4.5

(201 reviews)

Intermediate level

Recommended experience

4 months at 10 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • Understand how to construct predictive models to anticipate team and player performance.

  • Understand the science behind athlete performance and game prediction.

  • Engage in a practical way to apply their Python, statistics, or predictive modeling skills.

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Specialization - 5 course series

Get in-depth knowledge of a subject

4.5

(201 reviews)

Intermediate level

Recommended experience

4 months at 10 hours a week
Flexible schedule
Learn at your own pace

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Specialization - 5 course series

What you'll learn

  • Use Python to analyze team performance in sports.

  • Become a producer of sports analytics rather than a consumer.

Skills you'll gain

Category: Data Analysis
Category: Python Programming
Category: sports analytics

Moneyball and Beyond

Course 228 hours4.6 (46 ratings)

What you'll learn

  • Program data using Python to test the claims that lie behind the Moneyball story.

  • Use statistics to conduct your own team and player analyses.

Skills you'll gain

Category: Data Analysis
Category: Python Programming
Category: sports analytics

Prediction Models with Sports Data

Course 333 hours4.5 (30 ratings)

What you'll learn

  • Learn how to generate forecasts of game results in professional sports using Python.

Skills you'll gain

Category: Data Analysis
Category: Python Programming
Category: sports analytics

Wearable Technologies and Sports Analytics

Course 428 hours4.6 (32 ratings)

What you'll learn

  • Understand how wearable devices can be used to help characterize both training and performance.

Skills you'll gain

Category: Data Analysis
Category: Python Programming
Category: sports analytics

Introduction to Machine Learning in Sports Analytics

Course 512 hours4.6 (16 ratings)

What you'll learn

  • Gain an understanding of how classification and regression techniques can be used to enable sports analytics across athletic activities and events.

Skills you'll gain

Category: Data Analysis
Category: Python Programming
Category: sports analytics

Instructors

Stefan Szymanski
University of Michigan
3 Courses20,985 learners
Youngho Park
University of Michigan
1 Course4,998 learners

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