Predict and Validate Regression Models in R
By External Provider
About this course
This course is your entry point into the world of predictive analytics with R. Designed for aspiring data analysts and business professionals, this course empowers you to build and interpret multiple linear regression models from the ground up. You will move beyond simply running code and learn to critically evaluate your model's performance. Through a series of hands-on learnings and real-world case studies, you will master the techniques to diagnose your model's statistical assumptions using residual plots and assess its reliability with k-fold cross-validation. By the end of this course, you won't just build models—you'll build models you can trust. You'll leave with a validated, portfolio-ready project and the confidence to generate dependable forecasts that drive strategic business decisions.
What you will learn
- Build and validate linear regression models in R, using diagnostics and cross-validation to ensure robust, reliable business predictions.