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學生對 杜克大学 提供的 Linear Regression and Modeling 的評價和反饋

1,453 個評分
262 條評論


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....



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


Very good course taught by Dr. Mine who is as always a very good teacher. The videos are very eloquent and easy to understand. Highly recommend it if you are looking for a basic refresher course.


226 - Linear Regression and Modeling 的 250 個評論(共 259 個)

創建者 Janice H


Lecture explanations are fantastic as are slides. Pace is appropriate. R information is a little sketchy but manageable with diligence.

創建者 Nathan H


Very informative for an introduction. Wish it was longer and more mathematical, but there are other courses on Coursera for that.

創建者 Tony G


Good overview of regression modeling. Would have liked to see more on logistic regression. But that's ok, can read it on my own.

創建者 Scott T


Great course. I only wish there was more time spent on dealing with more complex situations such as overfitting.

創建者 Shivani J


I liked the course. I learnt a lot while working on its project. Instructor's way of teaching is very engaging.

創建者 Elham L


The material in this course is explained very well. However it requires one has the knowledge in using R.

創建者 Siyao G


Contents are easier compared with other courses in this series. Quite systematic and easy to understand.

創建者 Natalie R


Clearly presented. R instruction is pretty minimal, so there is a lot of trial and error and googling.

創建者 Guillermo U O G


I liked, but I guess it could improve little by including more topics in linear regression analysis.

創建者 marvin m


The Lab could be better if there was a video that goes with it. But overall I love this course.

創建者 Jian S


I learnt quite a bit. One of the most useful courses! I would suggest add more exercises in R.

創建者 NG Y W


This course has provided me with a good and simple understanding on the concept

創建者 Amir Z


This is a great course for this specialization but don't expect much depth.

創建者 zhenyue z


nice lecture, but it is really too short, not into too much details.

創建者 Luis F R C


Excellent course, I think it still could include more content!

創建者 Anna D


Great course and lots of useful knowledge!

創建者 Nikhil K


Not covered entire regression technique

創建者 FangYiWang


A good course for Bayesian statistics.

創建者 Mohammed S S


Great model with clear explanations

創建者 Daniel C


Very useful insights and lea

創建者 Lalu P L


Could be more informative

創建者 Syed M R A


Awesome course.

創建者 Toan L T


A good course

創建者 Ananda R



創建者 Micah H


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.)