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Learner Reviews & Feedback for Regression Models by Johns Hopkins University

4.4
stars
3,238 ratings
553 reviews

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.

BA
Jan 31, 2017

It really helped me to have a better understanding of these Regression Models. However, I've noticed that there is a video recording repeated: Week 3, Model Selection. Part 3 is included in Part 2.

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526 - 533 of 533 Reviews for Regression Models

By Arjun N

Sep 22, 2020

Terrible. Lectures are useless and Questions are very hard. A lot of studying then comes from searching the internet, which nullifies the need of taking the course.

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

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 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