Chevron Left
Back to Regression Models

Learner Reviews & Feedback for Regression Models by Johns Hopkins University

4.4
stars
3,369 ratings

About the Course

Linear models, as their name implies, relates an outcome to a set of predictors of interest using linear assumptions. Regression models, a subset of linear models, are the most important statistical analysis tool in a data scientist’s toolkit. This course covers regression analysis, least squares and inference using regression models. Special cases of the regression model, ANOVA and ANCOVA will be covered as well. Analysis of residuals and variability will be investigated. The course will cover modern thinking on model selection and novel uses of regression models including scatterplot smoothing....

Top reviews

BK

Feb 9, 2016

This was a tough class covering a lot of material. The last week on logistic regression completely lost me. If you're new to stats like me you might want to take it more than once.

DJ

Aug 1, 2017

Great introductory course on Regression Models. Super practical and well explained. Definitely doing the exercises and final project is a must to get all the learnings!

Filter by:

301 - 325 of 562 Reviews for Regression Models

By Veronica F V M

•

Nov 23, 2017

Muy bueno :)

By Divvya T

•

Nov 1, 2017

goood course

By Magnus G A

•

Feb 14, 2017

Great Course

By Sudarshan D

•

Feb 8, 2016

Great Course

By Humberto R

•

Nov 15, 2020

Good course

By Sumeet M

•

Jan 7, 2018

Good Course

By Chris

•

Dec 22, 2017

good class.

By Venkatesh

•

Jul 7, 2017

Very useful

By Darshan

•

Jun 19, 2017

Nice course

By Deleted A

•

Nov 2, 2021

Thank you!

By Omar m m

•

Sep 20, 2018

excellence

By Craig S

•

Dec 31, 2017

Very Good!

By Reinhard S

•

May 19, 2017

well done!

By Carlos R

•

Dec 26, 2016

Very Nice!

By Kai W P

•

Nov 5, 2016

Very good.

By Ilan L

•

Jul 10, 2016

very usful

By jagan m g l m

•

Jan 22, 2025

excellent

By Sayan M

•

Aug 23, 2021

VERY GOOD

By GAURAV G

•

Jun 1, 2020

Excellent

By PRABHAT K

•

Jul 21, 2017

Excellent

By RAHULR

•

Jul 3, 2020

its good

By Xiaole Z

•

Jul 26, 2019

helpful!

By William A

•

May 16, 2018

Loved it

By Maggie L

•

Aug 27, 2017

Love it!

By Charlie d T

•

Oct 29, 2017

amazing