- Data Analysis
- Scatter Plots
- Data Manipulation
- Descriptive Statistics
- Regression Analysis
- Probability & Statistics
- Statistical Hypothesis Testing
- Data Cleansing
- Correlation Analysis
- Pandas (Python Package)
- Matplotlib
- Data Visualization
Foundations of Sports Analytics: Data, Representation, and Models in Sports
Completed by Paul David
October 25, 2024
49 hours (approximately)
Paul David's account is verified. Coursera certifies their successful completion of Foundations of Sports Analytics: Data, Representation, and Models in Sports
What you will learn
Use Python to analyze team performance in sports.
Become a producer of sports analytics rather than a consumer.
Skills you will gain
