- Data Visualization
- Statistical Hypothesis Testing
- Data Analysis
- Scatter Plots
- Pandas (Python Package)
- Data Cleansing
- Python Programming
- R Programming
- Regression Analysis
- Correlation Analysis
- Matplotlib
- Descriptive Statistics
Foundations of Sports Analytics: Data, Representation, and Models in Sports
Completed by Arthur De Marchi Brunelli
April 11, 2024
49 hours (approximately)
Arthur De Marchi Brunelli'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
