- Regression Analysis
- R Programming
- Data Cleansing
- Statistical Analysis
- Data Preprocessing
- Scatter Plots
- Data Analysis
- Pandas (Python Package)
- Descriptive Statistics
- Statistical Inference
- Correlation Analysis
- Matplotlib
Foundations of Sports Analytics: Data, Representation, and Models in Sports
Completed by Karoline Sears
May 24, 2023
49 hours (approximately)
Karoline Sears'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
