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

4.7
1,541 個評分
284 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....

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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.

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201 - Linear Regression and Modeling 的 225 個評論(共 282 個)

創建者 Vedant G

2020年7月3日

informative

創建者 Jeffrey L

2020年5月3日

Good course

創建者 Qiming L

2020年11月4日

Very good!

創建者 Tom B

2020年10月9日

Thank you!

創建者 Lou B V

2020年9月7日

Thank you!

創建者 Eduardo M

2019年8月13日

Excellent!

創建者 ADITYA W P

2020年9月30日

thank you

創建者 Md N I S

2019年12月7日

Worth it!

創建者 gerardo r g

2019年7月10日

Excellent

創建者 BillyLin

2016年8月7日

很棒 学到很多东西

創建者 mausci71

2020年8月11日

Perfect

創建者 Bouquegneau

2017年10月10日

perfect

創建者 Byeong-eok K

2017年7月13日

Great.

創建者 RAHMA M F

2020年10月8日

Great

創建者 Bilinclizihin

2019年1月3日

10/10

創建者 Musthafa B E

2020年10月1日

GOOD

創建者 Aman G

2020年8月17日

nice

創建者 Priyadharshini P

2021年8月9日

Is

創建者 Sanan I

2020年6月4日

,

創建者 Robert

2018年11月22日

/

創建者 Yu Y

2016年10月27日

.

創建者 Walter V

2020年6月28日

The key concepts of linear regression are explain really well, without heavy mathematical explanation, that is good, because the main concepts are what it important.

The project at the end of the course is REALLY good, you can learn a lot from the analysis and investigation you need to do on it, it took me around 30 hours to really understand and complete (a full time job of 1 week), which is really nice.

I give 4 stars to the course, because they don't dig very much in variables selection, specially with categorical variables, with are the ones i had an hard time during the project. Note: It was hard, because it was difficult, but in the process i learnt a lot of things investigating.

Besides this point, the course is really good to say: "I know the basics of linear regression, I know how to handle it in R", the topic of "Linear Regression and Modeling" is of course much, much more larger than what can be explained in 1 course.

創建者 Neeraj P

2017年2月8日

First, this course will enable me to understand the quantitative part of a research. Additionally, this will help a student to understand the essence of performing such numerical calculations and will make us understand the relationship between different variables.

Secondly, this is the need of the hour and such numerical functions are used worldwide so, learning this course will help in almost every field be it 'Management' be it 'Social Sciences' or be it 'Human Behaviour'.

創建者 Veliko D

2019年10月20日

The course is good and the material is presented clearly. The capstone project is very good and makes you really use all the knowledge obtained in the course and the pre-prequisite course Inferral Statistics. My only dissatisfaction is that the course was rather short: only 3 weeks of material and 1 capstone. Therefor it covered less material then I expected. For example, I expected logistic regression to be covered.

創建者 Jason L

2021年1月27日

Awesome course with very clear material! I do wish that the course had a bit broader of a scope (i.e. also covering logistic regression and other kinds of regression with non-numerical response variables). Compared to the Inferential Statistics course, it feels like there was a bit less material. Otherwise, I was very happy with this course. :)