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

4.7
1,524 個評分
281 條評論

## 課程概述

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....

## 熱門審閱

TM
2020年7月21日

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
2017年5月23日

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 277 個）

2016年11月9日

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.

2017年10月15日

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.

2020年4月26日

A great course on regression. Though some topics weren't taught in the lecture but they can be easily covered using the links provided in the course. Additionally, a more detailed lecture on diagnostics plot can be useful.

2020年12月6日

A very practical course with hands on sessions in regression. I loved the final project which actually helped me to apply everything that I learnt during the 4 week period and hence cleared so many doubts I had in mind.

2021年1月12日

i would like it very much if the course had more auxiliar videos about R code, because is maybe the most dificult thing to follow on the course. In general the course is amazing, very well explained, i learned a lot.

2017年3月30日

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.

2017年2月26日

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.

2018年12月12日

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.

2020年12月18日

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.

2018年1月20日

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.

2017年12月20日

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.

2017年1月13日

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.

2016年11月27日

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!

2018年4月25日

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

2017年3月30日

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

2016年10月30日

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

Technical parts, coursera platform should work better

2020年6月5日

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

2018年12月19日

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

2017年1月29日

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

2016年8月9日

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

2020年4月5日

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

2020年4月7日

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

2019年8月6日

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

2019年6月3日

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

2019年5月12日

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