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....

KA

Dec 17, 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

Feb 01, 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.

篩選依據：

創建者 Sepehr S

•Mar 11, 2016

The instructor is not good and doesn't explain things clearly.

創建者 Daniel R

•May 14, 2016

Some topics that are important, are obviated

創建者 Joseph D

•Apr 29, 2016

Coursera keeps changing my rating. Not cool.

創建者 Ankit S

•Oct 24, 2018

not effective for new learnners

創建者 Derek P

•Aug 18, 2016

The course is essentially just a review of formulas with very little intuition explained to the beginner. It was necessary to use a collection of outside material from other courses and readings to learn the concepts. This course needs to be completely redone with a focus on developing a student's intuition for the material and then support this intuition with basic examples that build as the course progresses. A fundamental demonstration of how to use R to work through regression models (starting from square one) should be added so that this becomes a self-contained course. As it currently stands it is a collection of poorly integrated slides and concepts that serve to confuse the student more than educate. Other classes teach this material infinitely better.

創建者 Fabiana G

•Aug 31, 2016

I was really disappointed with this course. I took the other courses from Brian Caffo and truly enjoyed them. For the previous courses, I've always used the books and they helped me tremendously to be able to comprehend the material. There is a book for Regression Models but but it's a real mess. It feels like a draft that no one cared to take a second look. There is a bunch of wrong code and typos. The explanation doesn't go as far as it should. I had to resort to many different sources just to be able to get by the course. I hope the instructors review this course soon because it does not have the same quality as others. If they don't review it, don't bother paying for it. Try learning Regression Models elsewhere.

創建者 Olivia U

•Jun 10, 2020

This is, by far, the worse course of the whole specialization. The instructor has a talent to make this whole topic way more complicated than it is. I ended up auditing the Duke University course on the same subject to understand the concepts, as well as watching many youtube videos, which allowed me to properly do the course project (which is the only good thing about this course: applying what you've learned). I cannot recommend this course to anyone if it's not as part of the specialization.

創建者 Lawrence G

•Jun 06, 2020

The most worthless waste of my time this year. I learned more in an hour of browsing external sources than I did from the entirety of the course material, which was poorly structured and extremely dull. Were I not so heavily invested in this specialisation already, I would have cancelled my subscription over it.

創建者 Robert O

•Apr 06, 2016

Very little depth. I don't recommend this if you don't already have background in statistics or R. I really didn't learn anything. I mostly just gamed the quizzes and projects.

創建者 Tom

•Jul 22, 2017

Terrible. If you want to learn about regression, even in R, go elsewhere. This course damages the brands of Johns Hopkins and Coursera...anybody heard of quality control?

創建者 Adnan B

•Aug 13, 2019

This is the whole course that kind of discouraged me persuing data science field... i wish i wish i wish there was different instructor

創建者 satakarni b

•Nov 08, 2016

Not worth it for the bucks.

Instructor has tried his best to make no sense of the subject.

I would be happy for a refund.

創建者 Stephen E

•Jun 27, 2016

To be honest I don't think this is worth the money.

創建者 Shahryar N

•Nov 29, 2018

The course is awfully simplified.

創建者 Sharon E

•Jul 21, 2020

Do not do this course!

創建者 Vineet J

•Jul 30, 2017

not good tutor