Coursera – Sports Performance Analytics Specialization 2024-12

Sports Performance Analytics Specialization, Sports analytics has emerged as a field of research with increasing popularity propelled, in part, by the real-world success illustrated by the best-selling book and motion picture, Moneyball. Analysis of team and player performance data has continued to revolutionize the sports industry on the field, court, and ice as well as in living rooms among fantasy sports players and online sports gambling. Drawing from real data sets in Major League Baseball (MLB), the National Basketball Association (NBA), the National Hockey League (NHL), the English Premier League (EPL-soccer), and the Indian Premier League (IPL-cricket), you’ll learn how to construct predictive models to anticipate team and player performance. You’ll also replicate the success of Moneyball using real statistical models, use the Linear Probability Model (LPM) to anticipate categorical outcomes variables in sports contests, explore how teams collect and organize an athlete’s performance data with wearable technologies, and how to apply machine learning in a sports analytics context. This introduction to the field of sports analytics is designed for sports managers, coaches, physical therapists, as well as sports fans who want to understand the science behind athlete performance and game prediction. New Python programmers and data analysts who are looking for a fun and practical way to apply their Python, statistics, or predictive modeling skills will enjoy exploring courses in this series.

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.

Specificatoin of Sports Performance Analytics Specialization

• Publisher : Coursera
• Teacher : Stefan Szymanski
• Language : English
• Level : Intermediate
• Number of Course : 5
• Duration : 4 months at 10 hours a week

Content of Sports Performance Analytics Specialization

Requirements

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

Pictures

Sample Clip

Installation Guide

Extract the files and watch with your favorite player

Subtitle : English

Quality: 720p

Download Links

Course 1 – Foundations of Sports Analytics: Data, Representation, and Models in Sports

Download – 841 MB

Course 2 – Moneyball and Beyond

Download – 519 MB

Course 3 – Prediction Models with Sports Data

Download – 654 MB

Course 4 – Wearable Technologies and Sports Analytics

Download – 314 MB

Course 5 – Introduction to Machine Learning in Sports Analytics

Download – 975 MB

File size

3.22 GB