- Python Programming
- Regression Analysis
- Statistical Methods
- Data Cleansing
- Correlation Analysis
- Descriptive Statistics
- Statistical Hypothesis Testing
- R Programming
- Scatter Plots
- Data Analysis
- Plot (Graphics)
- Statistical Analysis
Foundations of Sports Analytics: Data, Representation, and Models in Sports
Completed by Rubén Maestre Zaplana
February 12, 2024
49 hours (approximately)
Rubén Maestre Zaplana'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
