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Course Description

Nonlinear regression models are essential for capturing complex relationships between predictor and response variables that linear regression cannot adequately describe. In this course, you will engage with the theoretical foundations of these models, gain practical experience in their application, and develop the skills necessary to interpret and evaluate their results. This course is designed to equip you with a comprehensive understanding of nonlinear regression models, with a focus on polynomial regression, splines, and generalized additive models (GAMs).

Faculty Author

Sumanta Basu

Benefits to the Learner

  • Understand when a nonlinear model is necessary for your dataset
  • Implement and interpret polynomial regression models
  • Fit basis splines and describe the advantage of splines as compared to polynomial regression
  • Implement generalized additive models for binary and nonbinary variables then interpret the results in R

Target Audience

  • Current and aspiring data scientists and analysts
  • Business decision makers
  • Marketing analysts
  • Consultants
  • Executives
  • Anyone seeking to gain deeper exposure to data science

Applies Towards the Following Certificates

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Enroll Now - Select a section to enroll in
Type
2 week
Dates
Aug 07, 2024 to Aug 20, 2024
Total Number of Hours
16.0
Course Fee(s)
Contract Fee $100.00
Type
2 week
Dates
Oct 30, 2024 to Nov 12, 2024
Total Number of Hours
16.0
Course Fee(s)
Contract Fee $100.00
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