- 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 Chady Bou Habib
November 30, 2021
49 hours (approximately)
Chady Bou Habib'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
