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Learner Reviews & Feedback for Regression Models by Johns Hopkins University

3,273 ratings
563 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

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.

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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401 - 425 of 544 Reviews for Regression Models

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 Frank O

Jul 12, 2021

Mathematically difficult topic for me, but very well conveyed

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

By Pooia L

Sep 13, 2018

This is a very nice course provided you study a lot for it

By Karthik R

Aug 7, 2017

Knowledge on Statistics will help in better understanding.

By Luong M Q

Oct 16, 2017

some complicated contents that are hard to fully grasp.

By H Y

Feb 8, 2017

Content regarding variable selection is kind of rough.

By Camilo Y

Mar 14, 2017

Great introduction to regression models. Pretty clear

By Madhuri

Oct 26, 2016

prerequisites are very mandatory to do this course

By pulkit k

Jun 9, 2018

It lacked practical application, not impressed.

By Mitraputra G

Jan 14, 2017

A little monotonous sometimes. Otherwise good.

By Mehrshad E

Dec 18, 2017

I found SWIRL more helpful than the lectures.

By Sameen S

Oct 1, 2018

The lectures were a bit complex and lengthy.

By Ankush K

Jan 16, 2018

really informative with helpful examples.

By Mehul P

Oct 3, 2017

Easy way to understand Regression.