Learner Reviews & Feedback for Regression Models by Johns Hopkins University
About the Course
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.
AC
Aug 10, 2017
Regression analysis is something that is kind of easy for people to understand (outcome and predictor - people get that!). It's easy to explain to people. So much practice using the lm function!
401 - 425 of 561 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 13, 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 27, 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 11, 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.