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Opiniones y comentarios de aprendices correspondientes a Linear Regression and Modeling por parte de Universidad Duke

4.7
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1,108 calificaciones
191 revisiones

Acerca del Curso

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....

Principales revisiones

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.

PS

Sep 15, 2017

fantastic course on linear regression, concepts are well explained followed by quiz and practical exercises.\n\nthough you need to complete the prior courses to understand this.

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126 - 150 de 188 revisiones para Linear Regression and Modeling

por Olga

Jan 27, 2019

Great course!

por Aidi B

Aug 12, 2018

Great Lesson!

por Luo Y

May 30, 2018

Very helpful!

por Ricardo B

Nov 08, 2017

Great course.

por Tian Z

Oct 11, 2017

Very helpful!

por fanjieqi

Feb 01, 2018

Pretty Good!

por Theo A

Dec 21, 2017

Good course.

por Agustin G

Oct 01, 2017

Excelent !!!

por José M C

Mar 22, 2017

Very useful.

por Kuntal G

Oct 27, 2016

Great Course

por Eduardo M

Aug 14, 2019

Excellent!

por Md N I S

Dec 07, 2019

Worth it!

por gerardo r g

Jul 10, 2019

Excellent

por BillyLin

Aug 07, 2016

很棒 学到很多东西

por Bouquegneau

Oct 10, 2017

perfect

por Byeong-eok K

Jul 13, 2017

Great.

por Gencay I

Jan 03, 2019

10/10

por Robert

Nov 23, 2018

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por Yu Y

Oct 27, 2016

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por Neeraj P

Feb 08, 2017

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'.

por Veliko D

Oct 20, 2019

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.

por Saif U K

Jul 20, 2016

An extremely good introductory course. A must for undergraduates. The style of teaching is fluid and you learn concepts step by step. For more advanced learners the only drawback I see is that this is, by default, an introductory course.But still for advanced learners it can be a great (and I really mean great) refresher.

por 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.

por Aaradhya G

Jan 07, 2020

Again, Dr. Mine Cetinkaya Rundel is amazing. However, linear regression is a vast topic, and maybe another week could have been better. But nonetheless, the concepts explained herein are crystal clear, succinct, and taught in an engaging manner.

por Sean T

Jul 04, 2018

Really enjoyed this course! It teaches you the theory you need to understand how a linear regression model works, how to check that your model fulfils certain conditions so that it is valid, and how to build and implement your model in practice!