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Learner Reviews & Feedback for Regression Models by Johns Hopkins University

4.4
stars
3,340 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

KA

Dec 16, 2017

Excellent course that is jam-packed with useful material! It is quite challenging and gives a thorough grounding in how to approach the process of selecting a linear regression model for a data set.

DA

Mar 10, 2019

This module was the maximum. I learned how powerful the use of Regression Models techniques in Data Science analysis is. I thank Professor Brian Caffo for sharing his knowledge with us. Thank you!

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301 - 325 of 556 Reviews for Regression Models

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 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

By Fernando M

Sep 4, 2017

Love it

By UDBODH

May 14, 2016

Had fun

By Ricardo A M C

Jan 22, 2021

thanks

By Jeff D

Nov 13, 2020

Thanks