- R Programming
- Probability & Statistics
- Predictive Modeling
- Statistical Inference
- Feature Engineering
- Regression Analysis
- Data Modeling
- Statistical Modeling
- Statistical Analysis
- Model Evaluation
- Statistical Methods
- Mathematical Modeling
Modern Regression Analysis in R
Completed by Christopher Overton
March 15, 2025
45 hours (approximately)
Christopher Overton's account is verified. Coursera certifies their successful completion of Modern Regression Analysis in R
What you will learn
Articulate some recommended practices for ethical behavior and communication in statistics and data science.
Interpret important components of the MLR model, including the “systematic” and “random” components of the model.
Describe and implement testing-based procedures for model selections and select a “best” model based on a given procedure.
Skills you will gain
