When you enroll through our links, we may earn a small commission—at no extra cost to you. This helps keep our platform free and inspires us to add more value.

Generalized Linear Models and Nonparametric Regression
This course is part of Statistical Modeling for Data Science Applications Specialization
Free

This Course Includes
coursera
4.4 (14 reviews )
42 hours (approximately)
english
Online - Self Paced
course
University of Colorado Boulder
About Generalized Linear Models and Nonparametric Regression
Learn new concepts from industry experts
Gain a foundational understanding of a subject or tool
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate
What You Will Learn?
- Describe how to generalize the linear model framework to accommodate data that is not suitable for the standard linear regression model..
- State some advantages and disadvantages of (generalized) additive models..
- Describe how an additive model can be generalized to incorporate non-normal response variables (i.e., define a generalized additive model)..