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Linear Regression and Modeling , Université Duke

4.7
915 notes
165 avis

À propos de ce 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

par 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.

par 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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162 avis

par Lalu Prasad Lenka

Apr 22, 2019

Could be more informative

par FangYiWang

Apr 19, 2019

A good course for Bayesian statistics.

par Anukul

Apr 03, 2019

it provides a superficial knowledge. A deep understanding of subject can not be gain from this course

par Alfredo José Neto

Mar 29, 2019

Excellent. A well designed course and the explanation are very easy to understand

par Henri Menager

Mar 22, 2019

Great contents and great teacher. I enjoyed it very much.

par GUO Shiwen

Mar 19, 2019

Nice module! It is very clear.

par Aleix Dorca

Mar 03, 2019

Very good, and most important of all, very well explained!

par Richard Millington

Feb 05, 2019

Really great course, clear and easy to follow. Highlight recommended.

par Olga

Jan 27, 2019

Great course!

par Sergio Escalante Trejos

Jan 22, 2019

The applications of linear regression models are vast. This is a useful course.