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Learner Reviews & Feedback for Regression Models by Johns Hopkins University

4.4
stars
3,267 ratings
562 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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151 - 175 of 543 Reviews for Regression Models

By Christian H

Aug 22, 2017

Great course; practical introduction to regression models at the university level.

By Roberto D

Jun 21, 2017

Concepts explained and illustrated very well to understand how variables differ.

By Harris P

Dec 19, 2016

Was tough but thoroughly had fun completing it. Its a cleverly designed course.

By Erich F G

Mar 20, 2018

Challenging course. Brought back memories of graduate school in the early 90s

By Carlos A C Z

Jan 15, 2018

This was a good course. I learn a lot making the final Project of the course

By Raunak S

Nov 10, 2018

a very good course before digging deeper into Data Science advanced topics.

By Tai C M

Sep 26, 2017

This course is not as tough as the statistics class. Easier to understand.

By SATHYANARAYANAN S

Sep 10, 2017

Very good for anyone wanting to get into the field of Data Science using R

By Vitalii S

Jul 20, 2017

I liked this course, but I would like that last task be more complicated.

By Joe B

Jan 30, 2016

Great course with a thorough introduction to regression and linear model.

By Jay S

Jul 29, 2016

Very informative and detailed explanation of how regression model works!

By Mayank C

Feb 25, 2016

Very comprehensive course for developing the basics of regression models

By Mateo C T

Feb 11, 2021

Excellent course, gives the necessary inputs to start in this matter.

By Shubham S Y

Jun 26, 2017

Good for clearing out your basic Regression doubts and that too in R!

By Kyle H

Apr 2, 2018

A great, quick treatment of the major touch points of linear models.

By N S N

Jan 2, 2018

Very Exciting Journey of learning and thoroughly enjoyed the course.

By Sabawoon S

Sep 12, 2017

Excellent course, it could be improved with more practical examples.

By Rodrigo P

Aug 3, 2017

Very interesting topics and discussions, but not easy to understand.

By Bojan B

Oct 14, 2018

Great course with great materials. Easy to understand and to learn.

By 陈颐欢

Jun 29, 2018

Basic idea about regression , it's very useful for beginner like me

By Wesley E

Feb 15, 2016

Great introduction and plenty of resources for more in depth study.

By Ayushmaan D V

Aug 4, 2020

This course serves as a great introduction to regression modelling

By Amanyiraho R

Jan 13, 2020

Gives you the best understanding of the roots of regression models

By Illich M

Jun 15, 2017

Tough course! I had to take it a couple of times to understand it.

By Ji, L 吉

Sep 28, 2016

I really learned some useful knowledge and codes from this course!