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.

University of Colorado Boulder logo

Generalized Linear Models and Nonparametric Regression

This course is part of Statistical Modeling for Data Science Applications Specialization

     
  • 4.4
  •  |
  • Reviews ( 14 )
Free

This Course Includes

  • iconcoursera
  • icon4.4 (14 reviews )
  • icon42 hours (approximately)
  • iconenglish
  • iconOnline - Self Paced
  • iconcourse
  • iconUniversity 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)..