- Regression Analysis
- Pandas (Python Package)
- Statistical Methods
- Descriptive Statistics
- Data Visualization
- Plot (Graphics)
- Statistical Hypothesis Testing
- Data Preprocessing
- Statistical Analysis
- Correlation Analysis
- Data Cleansing
- Scatter Plots
Foundations of Sports Analytics: Data, Representation, and Models in Sports
Completed by Jiri Materna
April 11, 2022
49 hours (approximately)
Jiri Materna'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
