This course introduces simple and multiple linear regression models. These models allow you to assess the relationship between variables in a data set and a continuous response variable. Is there a relationship between the physical attractiveness of a professor and their student evaluation scores? Can we predict the test score for a child based on certain characteristics of his or her mother? In this course, you will learn the fundamental theory behind linear regression and, through data examples, learn to fit, examine, and utilize regression models to examine relationships between multiple variables, using the free statistical software R and RStudio.
Linear Regression and Modeling
Linear Regression and Modeling
This course is part of Data Analysis with R Specialization
Instructor: Mine Çetinkaya-Rundel
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Gain insight into a topic and learn the fundamentals.
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Beginner level
No prior experience required
Flexible schedule
1 week at 10 hours a week
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8 assignments
Taught in English
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This course is part of the Data Analysis with R Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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AN
Reviewed on Sep 12, 2020
The course is structured in a very informative way, it is easy to understand and at the same time difficult concepts are presented in a very easy way. The course instructor is awesome.
TM
Reviewed on Jul 21, 2020
A great primer on linear regression with labs that help to establish understanding and a project that is focused enough not to be overwhelming, and allows the learner to play around with the concepts
JM
Reviewed on Jan 12, 2017
This course was good. However, compared to the other courses in the specialisation had less content. I would have liked to have videos on logistic regression as well.
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