How to extend linear regression to specify and estimate generalized linear models and additive models.
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
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).
This comprehensive Linear Regression, GLMs and GAMs with R curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Linear Regression, GLMs and GAMs with R course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Geoffrey Hubona, Ph.D.
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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