- Correlation Analysis
- R Programming
- Regression Analysis
- Data Cleansing
- Statistical Analysis
- Python Programming
- Descriptive Statistics
- Statistical Hypothesis Testing
- Data Visualization
- Pandas (Python Package)
- Data Preprocessing
- Statistical Methods
Foundations of Sports Analytics: Data, Representation, and Models in Sports
Completed by Jose Antonio Juarez Pacheco
July 9, 2023
49 hours (approximately)
Jose Antonio Juarez Pacheco'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
