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Learner Reviews & Feedback for Regression Models by Johns Hopkins University

4.4
stars
3,358 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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551 - 559 of 559 Reviews for Regression Models

By Adnan B

•

Aug 13, 2019

This is the whole course that kind of discouraged me persuing data science field... i wish i wish i wish there was different instructor

By satakarni b

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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

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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

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Nov 3, 2022

dont take it