- Matplotlib
- R Programming
- Statistical Hypothesis Testing
- Pandas (Python Package)
- Correlation Analysis
- Data Cleansing
- Probability & Statistics
- Python Programming
- Regression Analysis
- Descriptive Statistics
- Data Manipulation
- Statistical Methods
Foundations of Sports Analytics: Data, Representation, and Models in Sports
Completed by Andrew Wolfe
June 29, 2021
49 hours (approximately)
Andrew Wolfe'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
