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Foundations of Sports Analytics: Data, Representation, and Models in Sports

This course is part of Sports Performance Analytics Specialization

Instructors: Wenche Wang +1 more

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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

Statistical Analysis

Python Programming

Data Analysis

Matplotlib

Correlation Analysis

Descriptive Statistics

Scatter Plots

Statistical Methods

Statistical Hypothesis Testing

Data Visualization

Data Manipulation

Probability & Statistics

R Programming

Pandas (Python Package)

Data Cleansing

Regression Analysis

There are 6 modules in this course

This course does not simply explain methods and techniques, it enables the learner to apply them to sports datasets of interest so that they can generate their own results, rather than relying on the data processing performed by others. As a consequence the learning will be empowered to explore their own ideas about sports team performance, test them out using the data, and so become a producer of sports analytics rather than a consumer. While the course materials have been developed using Python, code has also been produced to derive all of the results in R, for those who prefer that environment.

Introduction to Data Sources

Introduction to Sports Data and Plots in Python

Introduction to Sports Data and Regression Using Python