About this Course

5,395 recent views
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level

Learners should have some familiarity with Python before starting this course. We recommend the Python for Everybody Specialization.

Approx. 12 hours to complete
English
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Coursera Labs
Includes hands on learning projects.
Learn more about Coursera Labs External Link
Intermediate Level

Learners should have some familiarity with Python before starting this course. We recommend the Python for Everybody Specialization.

Approx. 12 hours to complete
English

Offered by

Placeholder

University of Michigan

Syllabus - What you will learn from this course

Week1
Week 1
3 hours to complete

Machine Learning Concepts

3 hours to complete
7 videos (Total 75 min), 3 readings, 1 quiz
Week2
Week 2
4 hours to complete

Support Vector Machines

4 hours to complete
4 videos (Total 51 min), 2 readings, 1 quiz
Week3
Week 3
3 hours to complete

Decision Trees

3 hours to complete
4 videos (Total 58 min), 2 readings, 1 quiz
Week4
Week 4
3 hours to complete

Ensembles & Beyond

3 hours to complete
5 videos (Total 102 min), 3 readings, 1 quiz

Reviews

TOP REVIEWS FROM INTRODUCTION TO MACHINE LEARNING IN SPORTS ANALYTICS

View all reviews

About the Sports Performance Analytics Specialization

Sports Performance Analytics

Frequently Asked Questions

More questions? Visit the Learner Help Center.