- 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 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
