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    Back to Linear Regression and Modeling

    Learner Reviews & Feedback for Linear Regression and Modeling by Duke University

    Filled StarFilled StarFilled StarFilled StarFilled Star
    4.8
    stars
    1,761 ratings

    About the Course

    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.
    ...

    Top reviews

    TM

    Jul 22, 2020

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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

    PK

    May 24, 2017

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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.

    Filter by:

    276 - 300 of 326 Reviews for Linear Regression and Modeling

    Filled StarFilled StarFilled StarFilled StarStar

    By Duane S

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    Mar 30, 2017

    This course provides a very good introduction to basic linear regression, including simple multiple linear regression, model building and interpretation, model diagnostics, and application in R.

    Filled StarFilled StarFilled StarFilled StarStar

    By Erik B

    •

    Feb 26, 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.

    Filled StarFilled StarFilled StarFilled StarStar

    By ISABEL G D

    •

    Oct 22, 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

    Filled StarFilled StarFilled StarFilled StarStar

    By Allah D N

    •

    Dec 12, 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.

    Filled StarFilled StarFilled StarFilled StarStar

    By Roel M

    •

    Dec 18, 2020

    A nice experience, clear explanations, lots of exercises that are really important. The project also allowed one to reflect carefully on how to use R to carry out the analysis.

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    By Charles G

    •

    Jan 20, 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.

    Filled StarFilled StarFilled StarFilled StarStar

    By Aydar A

    •

    Dec 20, 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.

    Filled StarFilled StarFilled StarFilled StarStar

    By Jessye M

    •

    Jan 13, 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.

    Filled StarFilled StarFilled StarFilled StarStar

    By 冯允鹏

    •

    Nov 27, 2016

    Compared to the Course 2 Statistic inference, this session seems to be a little be informal and rush. But still learn a lot from the conception of linear regression!

    Filled StarFilled StarFilled StarFilled StarStar

    By christian a

    •

    Apr 25, 2018

    Really good course as the previous ones in this specialization. Could have included something more on checking for collinearity with categorical variables.

    Filled StarFilled StarFilled StarFilled StarStar

    By Dgo D

    •

    Mar 30, 2017

    It was a really good introduction to Linear Model, I recommend this course to all people who wants to learn more about statistical analysis

    Filled StarFilled StarFilled StarFilled StarStar

    By Ana C H

    •

    Oct 30, 2016

    Excellent Course. Mine, the teacher is a great great teacher. The mentors help a lot.

    Technical parts, coursera platform should work better

    Filled StarFilled StarFilled StarFilled StarStar

    By Janice H

    •

    Jun 5, 2020

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

    Filled StarFilled StarFilled StarFilled StarStar

    By Nate H

    •

    Dec 19, 2018

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

    Filled StarFilled StarFilled StarFilled StarStar

    By Tony

    •

    Jan 29, 2017

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

    Filled StarFilled StarFilled StarFilled StarStar

    By Scott T

    •

    Aug 9, 2016

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

    Filled StarFilled StarFilled StarFilled StarStar

    By Shivani J

    •

    Apr 5, 2020

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

    Filled StarFilled StarFilled StarFilled StarStar

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    By Siyao G

    •

    Aug 6, 2019

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

    Filled StarFilled StarFilled StarFilled StarStar

    By Natalie R

    •

    Jun 3, 2019

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

    Filled StarFilled StarFilled StarFilled StarStar

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    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.

    Filled StarFilled StarFilled StarFilled StarStar

    By NG Y W

    •

    Dec 12, 2016

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

    Filled StarFilled StarFilled StarFilled StarStar

    By Amir Z

    •

    Sep 1, 2016

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

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