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Learner Reviews & Feedback for Regression Models by Johns Hopkins University

3,319 ratings

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.


Mar 10, 2019

This module was the maximum. I learned how powerful the use of Regression Models techniques in Data Science analysis is. I thank Professor Brian Caffo for sharing his knowledge with us. Thank you!

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126 - 150 of 551 Reviews for Regression Models

By Irene R

Apr 23, 2018

Very good course, i learnt a lot. Looking forward to take more advanced courses on regression models.

By Berthold J

Jun 24, 2017

Very good lecture and also decent level of difficulties that requires to think/read additional stuff.

By Ewa W

Mar 9, 2017

Very Challenging Course

Very well presented

Great material/source of information for study

Loved It !

By hyunwoo j

Mar 16, 2016

easy to understand and full of new idea about using R.

especially 'manipulate' package is very useful

By Thomas A

Oct 12, 2019

A good review of regression that allows the student to apply practical implementations in R Studio

By Сетдеков К Р

Sep 30, 2019

It was rather hard and time consuming, but I learned a lot about poisson and binomial regressions.

By Carlos A D V

Jul 26, 2018

The best course of the Data Science Specilization until now and by far. Very practical and useful!

By Ahmed M S K

Jun 20, 2017

One of the best courses on Coursera for sure. Thank you so much. Regression has never been easier.


Oct 14, 2017

A very good data analysis course, highly useful for quantitative method and empirical findings.

By Laura N M

Aug 27, 2020

The course present a good overview for linear models, including the generalized linear models.

By Ignacio O

Jul 30, 2018

Excellent course!

I learned a lot of techniques and understood the basics of Regression Models.

By Guilherme B F

Mar 22, 2018

Really good. Easy to follow and great even if you just need a refresher in regression models.

By Arcenis R

Jan 18, 2016

This course is packed with great lessons and Prof. Caffo puts it all together very cogently.

By Ric J A N

Aug 6, 2017

The course is comprehensive in its presentation. Ideas can be easily grasp and replicated.

By George P

Mar 7, 2019

Great course for beginners, but definitely not for people with no mathematical background!

By sneha

Jan 23, 2019

Amazing course ! finally I have learned how to implement regression in real world analysis

By Carlos A R C

Sep 23, 2020

Excellent course. Best of all the Data Science specialization. Good, very good professor.

By Bruno R S

Mar 4, 2019

A deep review on linear, logistic and regression models. The critical tool for modelling.

By Walter T

Dec 8, 2016

A well defined learning path to understand the fundation of machine learning techniques.

By Puri V

Nov 13, 2019

Es un gran curso para aprender, junto con el resto de los cursos de la especialización.

By Channaveer P

Oct 12, 2019

Amazing course... good learning experience. Very useful for my role in my Organization.

By Juan P L R

Nov 26, 2020

Great introduction to regression models, and its application in R. Highly recommended.

By Andrew V

May 14, 2017

Nicely presented and understandable course with a challenging an interesting project.

By Bauyrjan J

Jan 31, 2017

Excellent course, but you have to use other materials from different courses as well.

By Johan V M

Aug 9, 2020

Excellent course! I am totally looking forward to learn a lot more on this subject.