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!
176 - 200 of 561 Reviews for 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 Walter T
•Dec 8, 2016
A well defined learning path to understand the fundation of machine learning techniques.
By Joe B
•Jan 30, 2016
Great course with a thorough introduction to regression and linear model.
By Mayank C
•Feb 25, 2016
Very comprehensive course for developing the basics of regression models
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 John C
•Dec 11, 2016
Hard but rewarding work that I think is perfect for Data Science.
By Charbel L
•Aug 20, 2019
Very comprehensive introduction to regression models. Well done!
By Laro N
•Jun 19, 2018
More examples and exercises wil be better but is a great course.
By Shashikesh M
•Jul 27, 2017
One of the most required skill set in the field of data science.
By Nicholas T
•Jun 29, 2020
Great course!
Lot's of effort put in by the lecturers. Thank you
By Prakhar P
•May 10, 2018
The concepts are explained in a very concise and crisp manner.
By Jonathan S
•Aug 4, 2021
Very good course. Covered all the basics of regresson models
By Light0617
•Dec 28, 2016
great courses!!! very practical but no a lot of mathemetics
By Enrique A
•Oct 4, 2020
Mil Gracias maestros, Maestro Roger, Mil Gracias Coursera.
By Winston P
•Nov 10, 2016
Good course! Prof Caffo is very clear in his explanations!
By Mario P
•Oct 22, 2018
I would like to thank all of you for this excellent work!
By Tine M
•May 11, 2018
Definitely a difficult course but a very interesting one.
By Wei L
•Oct 12, 2017
A lot of good info. Some of them is a little hard to me
By Changkeun K
•Sep 10, 2017
nice course. it requires knowledge of statistics a lot.
By Giovanni M C V
•Feb 16, 2016
Excellent course with great didactic. Congratulations!
By 李俊宏
•Sep 4, 2017
I like Brian Caffo's lectures. He is genius and calm
By Sidney d S P B
•Dec 26, 2020
The professor Brian Caffo is excelent and the best!
By David R
•Dec 5, 2018
Great course, well taught with very useful examples
By Javier E S
•Jul 15, 2018
Excellent course. Thank you Brian, Jeff and Roger.