Linear Regression, GLMs and GAMs with R

Online Course

Udemy
Linear Regression, GLMs and GAMs with R

What is the course about?

Linear Regression, GLMs and GAMs with R
The course Linear Regression, GLMs and GAMs with R is an online class provided by Udemy. It may be possible to receive a verified certification or use the course to prepare for a degree.

How to extend linear regression to specify and estimate generalized linear models and additive models.

Course description
  • Linear Regression, GLMs and GAMs with R
  • Understand the assumptions of ordinary least squares (OLS) linear regression.
  • Specify, estimate and interpret linear (regression) models using R.
  • Understand how the assumptions of OLS regression are modified (relaxed) in order to specify, estimate and interpret generalized linear models (GLMs).
  • Specify, estimate and interpret GLMs using R.
  • Understand the mechanics and limitations of specifying, estimating and interpreting generalized additive models (GAMs).
  • Students will need to install R and R Commander software but ample instruction for doing so is provided.
  • 8 hours on-demand video
  • 3 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
  • Geoffrey Hubona, Ph.D.

Prerequisites & Facts

Linear Regression, GLMs and GAMs with R

Course Topic

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University, College, Institution

Udemy

Course Skill Level

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

Degree & Cost

Linear Regression, GLMs and GAMs with R

To obtain a verified certificate from Udemy you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udemy
Linear Regression, GLMs and GAMs with R
provided by Udemy

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School: Udemy
Topic: Data Science, Development, R