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Avis et commentaires pour l'étudiant pour Linear Regression and Modeling par Université Duke

4.7
998 notes
178 avis

À propos du cours

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....

Meilleurs avis

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.

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101 - 125 sur 175 Examens pour Linear Regression and Modeling

par Ji, C

Oct 12, 2017

The lab work is pretty well-designed. I've learnt a lot from it! Great!

par Lakshmi m

May 19, 2018

Great learning experience 😊 learnt how to Build efficient models by keeping in mind so many statistical techniques

par Vincent M

Sep 20, 2016

An awesome course with great resources and teaching style

par Jennifer K

Nov 20, 2017

This was a very straightforward and thorough class with clear material that was logically structured.

par Joseph K

Jan 24, 2017

The lessons from this course are very useful, and I will be able to apply them for work.

par UTSAV B

Aug 09, 2016

Good Explanation

par ahmed i a e r

Jan 02, 2018

A great introduction to linear regression modeling.

par Raja R K

Jan 22, 2018

Great course for a begginer.

par Marina C R

Jul 19, 2017

Very interesting, I have learned a lot and I have been able to apply it to the final project

par Thomas J H

Aug 07, 2017

Another excellent course in this series.

par Prasad V S

Sep 15, 2017

fantastic course on linear regression, concepts are well explained followed by quiz and practical exercises.

though you need to complete the prior courses to understand this.

par K.K.Thampi

Jan 19, 2017

Superb, Best course, Best data set for project analysis

par Arnold T

Oct 26, 2016

This is the first course that's made me understand linear regression. The instructor is so spot on, and all areas are covered including diagnostics which I find most teachings skipping. Awesome course!

par Prasant K S

Jan 31, 2017

Excellent easy going course

par Hanyue Z

Oct 02, 2016

The structure of this course is really good. The slides demonstrates everything clearly. The speed that the instructor talks is good too.

par vinit k p

Sep 12, 2018

Simple and easy way to understand statistics.

par Aidi B

Aug 12, 2018

Great Lesson!

par Md H U

Aug 16, 2018

How I loved this course! Elegantly taught and lots of learning :)

par Aravindan

Sep 03, 2018

Brilliant Course

par Anne B

Oct 29, 2018

This course was very challenging. I learn a lot with the model we have to find and it is very interesting to note other students. None of us found the same results. For me, it is very strange not to know at the end what are the good results. It seems that you change the subject overtime. Do you send the correction?

It will be nice to know if we reasoned correctly.

par Julian A S

Nov 04, 2018

I enjoyed this course. It was quick, but I learned a lot! I thought the assignments were well-thought-out, and the custom R package for the course was a nice touch.

par Jaime R

Nov 08, 2018

Very useful and practical

par Robert

Nov 23, 2018

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par Pedro G F M

Nov 22, 2018

Great course! as a suggestion I Believe Duke should publish new courses on other prediction tools (like SVM, for example)

par Janio A M

Aug 04, 2018

Great work! Really intuitive and helpful for regression cases.