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学生对 杜克大学 提供的 Linear Regression and Modeling 的评价和反馈

4.7
1,076 个评分
186 个审阅

课程概述

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....

热门审阅

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.

筛选依据:

126 - Linear Regression and Modeling 的 150 个评论(共 183 个)

创建者 Sophie G

Jul 25, 2018

Very interesting, well taught.

创建者 Ale D

Nov 08, 2017

Excellent material

创建者 Aidi B

Aug 12, 2018

Great Lesson!

创建者 vinit k p

Sep 12, 2018

Simple and easy way to understand statistics.

创建者 YASHKUMAR R T

Jan 16, 2019

Simple syllabus, but excellent explanation.

创建者 Arun S

Jun 15, 2018

Good way to startCovered all basics stuffSimple to understand Good structuring

创建者 Bryan S

Oct 12, 2016

Excellent course, quality teaching

创建者 Eduardo M

Aug 14, 2019

Excellent!

创建者 Alexey K

Apr 01, 2018

This course is vary useful

创建者 Samir R

Mar 10, 2017

Awesome teacher

创建者 Minasian V

Aug 11, 2016

Very usefull and interesting.

创建者 Hao.Xue

Jul 04, 2017

wonderful module! easy to understand. the labs are extremely helpful which enables you to have a good command of practicing linear regression with R

创建者 Kuntal G

Oct 27, 2016

Great Course

创建者 Marcus S

Jun 21, 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.

创建者 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.

创建者 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.

创建者 Syed M R A

Mar 20, 2018

Awesome course.

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 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.

创建者 Luis F R C

Oct 27, 2016

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

创建者 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.

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 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.

创建者 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.

创建者 Daniel C

Apr 20, 2017

Very useful insights and lea