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

4.7
1,004 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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26 - 50 sur 175 Examens pour Linear Regression and Modeling

par Aidi B

Aug 12, 2018

Great Lesson!

par Aravindan

Sep 03, 2018

Brilliant Course

par vinit k p

Sep 12, 2018

Simple and easy way to understand statistics.

par Lokesh M

Oct 02, 2018

Learnt a lot after doing the course project. Very good exposure.

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 Md H U

Aug 16, 2018

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

par Sophie G

Jul 25, 2018

Very interesting, well taught.

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 Vincent M

Sep 20, 2016

An awesome course with great resources and teaching style

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 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 ahmed i a e r

Jan 02, 2018

A great introduction to linear regression modeling.

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 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 Sinan J H

Aug 07, 2016

Good course well taught.

par Gonzalo C S

Sep 08, 2016

Excelent, excelent, excelent, excelent

par 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.

par Jalal A

Apr 12, 2018

presenting linear regression concepts is amazing and worth to spend time for it.

par Bruno R d C S

Jan 20, 2018

One of the most useful of the series, can be valuable as a standalone course on Regression and Correlation. It is also very accessible.

par Utkarsh A

Jul 25, 2017

awesome coursework

par Luo Y

May 30, 2018

Very helpful!

par bin j

Dec 21, 2016

Great material.

par Shao Y ( H

Nov 27, 2017

Nice course. Comparing this course with the second and fourth ones in the specialization, this is a rather light-weighted one.