Chevron Left
Retour à Linear Regression and Modeling

Avis et commentaires pour l'étudiant pour Linear Regression and Modeling par Université Duke

4.7
1,002 notes
178 avis

À propos du cours

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....

Meilleurs avis

PK

May 24, 2017

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.

RZ

May 25, 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.

Filtrer par :

126 - 150 sur 175 Examens pour Linear Regression and Modeling

par Lokesh M

Oct 02, 2018

Learnt a lot after doing the course project. Very good exposure.

par Sophie G

Jul 25, 2018

Very interesting, well taught.

par Jacob T

May 29, 2019

Incredible course with interesting projects and excellent explanation.

par schlies

May 31, 2019

Good videos and projects

par Heungbak C

Jun 06, 2019

Good lectures!

I learned many thing from this course!

Thanks

par gerardo r g

Jul 10, 2019

Excellent

par Sherrod B

Jul 16, 2019

This course was exactly what I needed for a project involving logistic regression. Difficult (way past beginner!) but clear. Doing all the exercises in the workbook cemented my knowledge. Good final project. Very interesting to see other people's results from the final project. Great teacher! Thanks Duke!

par Eduardo M

Aug 14, 2019

Excellent!

par 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.

par Toan T L

Dec 11, 2018

A good course

par Nathan 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.

par Syed M R A

Mar 20, 2018

Awesome course.

par NG Y W

Dec 12, 2016

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

par Anna D

May 22, 2017

Great course and lots of useful knowledge!

par 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!

par 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.

par 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.

par Luis F R C

Oct 27, 2016

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

par Artur A B

May 10, 2017

The material is very straightforward and gives a great introduction to multiple linear regression. My only reservation is the length of the course, which seems to be a bit shorter than other courses in the certification. Would love to have more material/in-depth exposure to components available to us in R.

par Jian S

Dec 12, 2016

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

par Tomasz J

Oct 15, 2017

Very good and gentle introduction to linear regression. The final assignment however uses dataset which is very risky to use with linear regression (not all conditions were met in all the assignments I rated!). This is confusing.

par Duane S

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.

par 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.

par Daniel C

Apr 20, 2017

Very useful insights and lea

par Ana C

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