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Learner Reviews & Feedback for Regression Models by Johns Hopkins University

4.4
stars
3,369 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

BK

Feb 9, 2016

This was a tough class covering a lot of material. The last week on logistic regression completely lost me. If you're new to stats like me you might want to take it more than once.

DJ

Aug 1, 2017

Great introductory course on Regression Models. Super practical and well explained. Definitely doing the exercises and final project is a must to get all the learnings!

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176 - 200 of 562 Reviews for Regression Models

By Arcenis R

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Jan 18, 2016

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

By Walter T

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Dec 8, 2016

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

By Joe B

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Jan 30, 2016

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

By Mayank C

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Feb 25, 2016

Very comprehensive course for developing the basics of regression models

By Shubham S Y

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Jun 26, 2017

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

By Kyle H

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Apr 2, 2018

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

By John C

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Dec 11, 2016

Hard but rewarding work that I think is perfect for Data Science.

By Charbel L

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Aug 20, 2019

Very comprehensive introduction to regression models. Well done!

By Laro N

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Jun 19, 2018

More examples and exercises wil be better but is a great course.

By Shashikesh M

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Jul 27, 2017

One of the most required skill set in the field of data science.

By Nicholas T

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Jun 29, 2020

Great course!

Lot's of effort put in by the lecturers. Thank you

By Prakhar P

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May 10, 2018

The concepts are explained in a very concise and crisp manner.

By Jonathan S

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Aug 4, 2021

Very good course. Covered all the basics of regresson models

By Light0617

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Dec 28, 2016

great courses!!! very practical but no a lot of mathemetics

By Enrique A

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Oct 4, 2020

Mil Gracias maestros, Maestro Roger, Mil Gracias Coursera.

By Winston P

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Nov 10, 2016

Good course! Prof Caffo is very clear in his explanations!

By Mario P

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Oct 22, 2018

I would like to thank all of you for this excellent work!

By Tine M

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May 11, 2018

Definitely a difficult course but a very interesting one.

By Wei L

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Oct 12, 2017

A lot of good info. Some of them is a little hard to me

By Changkeun K

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Sep 10, 2017

nice course. it requires knowledge of statistics a lot.

By Giovanni M C V

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Feb 16, 2016

Excellent course with great didactic. Congratulations!

By 李俊宏

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Sep 4, 2017

I like Brian Caffo's lectures. He is genius and calm

By Sidney d S P B

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Dec 26, 2020

The professor Brian Caffo is excelent and the best!

By David R

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Dec 5, 2018

Great course, well taught with very useful examples

By Javier E S

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Jul 15, 2018

Excellent course. Thank you Brian, Jeff and Roger.