Learner Reviews & Feedback for Linear Regression and Modeling by Duke University
About the Course
Top reviews
OK
Sep 21, 2016
Very good course. while it does not cover everything. the teacher does a great job explaining things in a simple manner. My feed back would be to move ANOVA into this module.
TM
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
301 - 325 of 334 Reviews for Linear Regression and Modeling
By Elham L
•Apr 7, 2020
The material in this course is explained very well. However it requires one has the knowledge in using R.
By Siyao G
•Aug 6, 2019
Contents are easier compared with other courses in this series. Quite systematic and easy to understand.
By Natalie R
•Jun 3, 2019
Clearly presented. R instruction is pretty minimal, so there is a lot of trial and error and googling.
By Guillermo U O G
•May 12, 2019
I liked, but I guess it could improve little by including more topics in linear regression analysis.
By marvin m
•Nov 6, 2020
The Lab could be better if there was a video that goes with it. But overall I love this course.
By Jian S
•Dec 12, 2016
I learnt quite a bit. One of the most useful courses! I would suggest add more exercises in R.
By NG Y W
•Dec 12, 2016
This course has provided me with a good and simple understanding on the concept
By Amir Z
•Aug 31, 2016
This is a great course for this specialization but don't expect much depth.
By zhenyue z
•Jun 6, 2016
nice lecture, but it is really too short, not into too much details.
By Phan N V
•Jul 17, 2024
Not for beginners but overall ideas are explained quite clearly
By Luis F R C
•Oct 27, 2016
Excellent course, I think it still could include more content!
By Anna D
•May 22, 2017
Great course and lots of useful knowledge!
By Nikhil K
•Jan 25, 2020
Not covered entire regression technique
By FangYiWang
•Apr 18, 2019
A good course for Bayesian statistics.
By Mohammed S S
•Jun 8, 2020
Great model with clear explanations
By Seyyed B b
•Feb 3, 2021
Nice overview and R examples!
By Daniel C
•Apr 19, 2017
Very useful insights and lea
By Lalu P L
•Apr 21, 2019
Could be more informative
By Syed M R A
•Mar 20, 2018
Awesome course.
By Toan L T
•Dec 11, 2018
A good course
By Desalegn A M
•Oct 4, 2022
very nice.
By Ananda R
•Mar 14, 2018
excellent
By Muhammad A B A
•Oct 31, 2024
good
By Micah H
•Apr 30, 2018
Other nits about the depth and breadth of the course aside, I thought it was a good course. The main critique I have to offer is the lack of emphasis of using the power of R. When teaching model selection, the course should have at least provided instruction—or at least a written resource—on how to write the R code for automating forward/backward selection by R^2.* Being a course about using R as well as about linear regression and modeling, it seems like the appropriate thing to do.
(*A classmate whose final project I peer-reviewed used for loops to run the forward model selection based on R^2. That's how I learned about it.)
By Brandon F
•Oct 16, 2017
Provides a good overview, but I felt some loose ends were not addressed in terms of how stringent the conditions need to be met, and if one can use MLR when this is not the case.