Linear Regression and Modeling に戻る

4.7

1,020件の評価

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179件のレビュー

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....

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.

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.

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by 张馨元

•Nov 09, 2017

practical and useful

by Alfredo J N

•Mar 29, 2019

Excellent. A well designed course and the explanation are very easy to understand

by Jacob T

•May 29, 2019

Incredible course with interesting projects and excellent explanation.

by Heungbak C

•Jun 06, 2019

Good lectures!

I learned many thing from this course!

Thanks

by gerardo r g

•Jul 10, 2019

Excellent

by 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!

by Eduardo M

•Aug 14, 2019

Excellent!

by schlies

•May 31, 2019

Good videos and projects

by Tran T H

•Sep 17, 2019

It's helpful for me!

by 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.

by Toan T L

•Dec 11, 2018

A good course

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.

by Amir Z

•Sep 01, 2016

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

by Richard N B A

•Nov 09, 2016

Great introduction to linear regression. Nice, clean R tutorials via the labs. The lectures do become a little monotonous, but there there are linked readings in a nice, open-source textbook if reading suits you better than listening.

by Scott T

•Aug 09, 2016

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

by Tony G

•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.

by Anna D

•May 22, 2017

Great course and lots of useful knowledge!

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 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.

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.

by Syed M R A

•Mar 20, 2018

Awesome course.

by NG Y W

•Dec 12, 2016

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

by 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.

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!

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.