- Regression Analysis
- Data Preprocessing
- Statistical Inference
- Statistical Analysis
- Python Programming
- Data Analysis
- Matplotlib
- R Programming
- Pandas (Python Package)
- Scatter Plots
- Data Cleansing
- Correlation Analysis
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
