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Learner Reviews & Feedback for Regression Models by Johns Hopkins University

4.4
stars
3,346 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

AK

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I was hoping to learn about PROBIT models. I know they are very similar to LOGIT ones, but still... the pace is a little bit too fast and I think it requires more time than what it says.

SR

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One Star for the Video Lecture, One star for the free E-book, one star for the swirl lesson and two star for the video solutions of the exercises from the ebook (posted in youtube). Thank you.

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551 - 558 of 558 Reviews for Regression Models

By satakarni b

•

Nov 8, 2016

Not worth it for the bucks.

Instructor has tried his best to make no sense of the subject.

I would be happy for a refund.

By Ampolu M s

•

Apr 24, 2023

i had completed all my grades whats the peoblem iam not geeting the certficate

By Stephen E

•

Jun 27, 2016

To be honest I don't think this is worth the money.

By Yan L

•

Dec 14, 2020

The instructor doesn't know how to teach.

By Shahryar N

•

Nov 29, 2018

The course is awfully simplified.

By Sharon E

•

Jul 21, 2020

Do not do this course!

By Vineet J

•

Jul 30, 2017

not good tutor

By Abhishek K S

•

Nov 3, 2022

dont take it