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Linear Regression and Modeling , Université Duke

4.7
867 notes
158 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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155 avis

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.

par YASHKUMAR RAMESHBHAI TRADA

Jan 16, 2019

Simple syllabus, but excellent explanation.

par PRIYANKA DAS

Jan 08, 2019

Exceptionally helpful for beginners due to perfect combination of theoretical and practical sessions.

par Mindaugas Zilionis

Jan 07, 2019

The course is good regarding concepts and theoretical exercises, but poor regarding applying new knowledge in R. Since the course is introductory, an instruction how to install R and a list of R functions without clear explanation how they should be applied in general regression situations makes me explore other sources to learn how to apply those concepts (e.g. DataCamp, CRAN-RProject, etc) and then get back to learn theory? Sorry for expectations but course should provide a full and integrated package of knowledge and skills, especially for beginners.

Furthermore, no Machine Learning (ML) is covered as a tool to run a regression.

My proposal is to provide an algorithm with a comprehensive example how to run a regression using R. From data to final model, step-by-step.

par Daniel Castro Johanning

Jan 07, 2019

A great intro to linear regression, both from theoretical and practical point of view. Really enjoyed the course!

par Gencay Işık

Jan 03, 2019

10/10

par Charles Chen

Dec 22, 2018

The course provides good insights for linear regression. Also, I think the professors are intended to statistics and its application in real life.

par Dario Bahena

Dec 19, 2018

Great course, just like the rest of the specialization.

I am just missing math formality, but I guess that I shall target a different type of course (perhaps even of platform) for that.

Great professor; one can see that besides mastering the material, she has done the homework regarding teaching techniques.