AN
5.0Reviewed 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.
Linear Regression and Modeling
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.
Status: Model Evaluation
Status: Statistical Software
BeginnerCourse11 hours
Featured reviews
AA
4.0Reviewed Dec 19, 2017
Nice course. The downside is that it only explains interpretation of linear regression, but not enough details about how linear regression is performed from math point of view.
MS
5.0Reviewed Jun 20, 2018
This was the first course where I started noticing that I'm really learning and was able to apply some of the earned knowledge at work.Totally recommended.
TM
5.0Reviewed 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
AN
4.0Reviewed Dec 11, 2018
Files for this course were broken and I faced a lot of trouble to find good one. This course may be made more comprehensive and not assuming that reader have also understanding.
VS
5.0Reviewed Sep 14, 2017
fantastic course on linear regression, concepts are well explained followed by quiz and practical exercises.though you need to complete the prior courses to understand this.
CG
4.0Reviewed Jan 19, 2018
Good but I felt some gaps in the material made it difficult to learn. Also, the quiz questions are focused on attention to detail "gotcha" questions. This can be frustrating.
RZ
5.0Reviewed May 24, 2019
I feel I'm running out of complement words for this course series. In conclusion, clear teaching, helpful project, and knowledgeable classmates that I can learn from through final project.
JS
5.0Reviewed Nov 3, 2018
I enjoyed this course. It was quick, but I learned a lot! I thought the assignments were well-thought-out, and the custom R package for the course was a nice touch.
LD
5.0Reviewed May 14, 2020
It has been a great adventure so far. I still greatly appreciate how final projects are constructed that gives us freedom to choose our approach to the problems within the data set.
EB
4.0Reviewed Feb 25, 2017
Good, but a little "smaller" than the Inferential statistics course (which is very complete). I would have liked to also learn Logistics regression, which I now have to learn elsewhere.
ID
4.0Reviewed Oct 21, 2023
I love this course. I think that the explanations are very clear. However, I had a problem with the RDM file and the professor did not answer me. Finally, I solved the problem bymyself