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Learner Reviews & Feedback for Regression Models by Johns Hopkins University

4.4
stars
3,226 ratings
549 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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376 - 400 of 529 Reviews for Regression Models

By Andrea G

Jan 10, 2021

A very good and comprehensive introduction to Regression Models with practical exercises.

By B S

Jul 2, 2018

Nice course. It would however be better to include a summary how to approach an analysis.

By Nigel M

Sep 18, 2017

Good introduction to regressions and the process of applying regression analysis to data.

By Luiz E B J

Nov 26, 2019

The content is to long, maybe would be interesting split the content in other modules.

By Deleted A

Mar 11, 2019

Great course, but please check those subtitles that are occasionally completely off!

By Andrea S

Feb 25, 2017

Very good material but often too fragmentend/messy. The notes would need re-writing.

By Abrahan G U Ñ

Feb 10, 2016

It is a great introductory course into Regression analysis. I highly recommend it!

By Daniel J R

Dec 19, 2018

Quite practical. It does encourage one to follow-up with a more advanced course.

By Ravi V

Oct 12, 2018

Overall a good course. But I was expecting more in depth covering of the topics.

By César A C

Feb 3, 2018

Un curso bastante completo, aunque un pondría más ejemplos en la sección de GLM.

By Scipione S

Jul 14, 2020

I suggest to revie some videos. There is some repetition, especially in week 3.

By Marijus B

Apr 28, 2020

swirl exercises needs to be fixed, could not complete it because of the bug

By BIBHUTI B P

Jul 24, 2017

Wonderful experience of assimilating the techniques and tricks in this mod

By Sudheer P

Dec 28, 2016

This is a great course. The content clearly explains the regression model.

By Koen V

Sep 23, 2019

The explanation of the right answers from the quiz were quite handy!

By Humberto R

Feb 13, 2018

Great course. My prefered so far in the data science specialization

By Mingda W

Jun 5, 2018

Great, but need more examples and projects to practice the skills.

By antonio q

Mar 21, 2018

to me the more challenging course, well done though, thanks a lot

By Hariharan D

Sep 11, 2017

Intuitive course, liked it. Technical equations are challenging.

By 桂鹏

Jun 15, 2017

sufficient depth but explnation is not sufficient in many places

By Piotr K

Oct 23, 2016

Sometimes videos were hard to understand, especially in week 3.

By Alexandros A

Feb 8, 2016

I expected more in Binomial Regression and Poisson regression

By Yiyang Z

Aug 24, 2019

Very informative, but could be more interesting and concise.

By Manuel E

Jul 3, 2019

Hard class, documentation could be better, but good content.

By Alzum S M

Jan 8, 2019

Very much thank you for teaching me such an awesome course