学生对 Duke University 提供的 Linear Regression and Modeling 的评价和反馈
课程概述
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EB
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.
MS
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.
301 - Linear Regression and Modeling 的 325 个评论（共 334 个）
创建者 Elham L
•Apr 7, 2020
The material in this course is explained very well. However it requires one has the knowledge in using R.
创建者 Siyao G
•Aug 6, 2019
Contents are easier compared with other courses in this series. Quite systematic and easy to understand.
创建者 Natalie R
•Jun 3, 2019
Clearly presented. R instruction is pretty minimal, so there is a lot of trial and error and googling.
创建者 Guillermo U O G
•May 11, 2019
I liked, but I guess it could improve little by including more topics in linear regression analysis.
创建者 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.
创建者 Jian S
•Dec 12, 2016
I learnt quite a bit. One of the most useful courses! I would suggest add more exercises in R.
创建者 NG Y W
•Dec 12, 2016
This course has provided me with a good and simple understanding on the concept
创建者 Amir Z
•Aug 31, 2016
This is a great course for this specialization but don't expect much depth.
创建者 zhenyue z
•Jun 6, 2016
nice lecture, but it is really too short, not into too much details.
创建者 Phan N V
•Jul 16, 2024
Not for beginners but overall ideas are explained quite clearly
创建者 Luis F R C
•Oct 27, 2016
Excellent course, I think it still could include more content!
创建者 Anna D
•May 22, 2017
Great course and lots of useful knowledge!
创建者 Nikhil K
•Jan 25, 2020
Not covered entire regression technique
创建者 FangYiWang
•Apr 18, 2019
A good course for Bayesian statistics.
创建者 Mohammed S S
•Jun 8, 2020
Great model with clear explanations
创建者 Seyyed B b
•Feb 3, 2021
Nice overview and R examples!
创建者 Daniel C
•Apr 19, 2017
Very useful insights and lea
创建者 Lalu P L
•Apr 21, 2019
Could be more informative
创建者 Syed M R A
•Mar 19, 2018
Awesome course.
创建者 Toan L T
•Dec 11, 2018
A good course
创建者 Desalegn A M
•Oct 4, 2022
very nice.
创建者 Ananda R
•Mar 14, 2018
excellent
创建者 Muhammad A B A
•Oct 30, 2024
good
创建者 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.)
创建者 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.