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.
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.
Jun 15, 2017
sufficient depth but explnation is not sufficient in many places
por David E L B•
May 18, 2017
Really helpful and well presented.
por Yuekai L•
Mar 07, 2016
por Alexandros A•
Feb 08, 2016
I expected more in Binomial Regression and Poisson regression
por Kevin H•
Nov 09, 2016
Something was missing from this course. I cam away with an increased understanding of regression but I still feel like I struggle with many concepts and had to put in much more time than the recommended.
Still when I found the answer it was all still contained and maybe the material itself is just advanced.
por Luong M Q•
Oct 17, 2017
some complicated contents that are hard to fully grasp.
por B S•
Jul 02, 2018
Nice course. It would however be better to include a summary how to approach an analysis.
por Vidya M S•
Mar 14, 2017
The concepts are well explained and precise. I think it depends on the individual to dive deeper into the topic by independent learning. Good data examples. Also following the suggested book of the author helps with some extra excercises. However , I feel extra practice questions would help .
por Utkarsh Y•
Sep 28, 2016
It is a good course for learning regression model implementation in R. You may need to have a basic understanding of popular regression models like linear & logistic as the course doesn't cover mathematical aspects in detail
por Gianluca M•
Oct 20, 2016
To me, this is by far the best course in the series. It deals with the scientific foundation of how to do data science: regression models, residuals, measures of the quality of the prediction, etc. The teacher is clearly a mathematician and has an academic style of presenting. He is very clear and chooses the subject in a clever way. One always understands what he or she is doing.
Highly recommended. It doesn't get five stars only because it covers only the basics; I would have really liked it to last twice as much!
por Federico A V R•
Sep 14, 2017
Would love to see more hands on practical explanations rather tan mostly slides.
Content is great though!
por Pawel D•
Dec 18, 2016
This course is much improved, when compared with Statistical Inference. The instructor have put much effort in making the lectures interesting and casual, at the same time not loosing the value of contents. I especially liked some subtle jokes - just a finishing human touch.
Some lectures from 4th week were not very well rehearser and shot hastily. Some quiz question were disproportionately difficult, but most of material is covered in course or course materials. Otherwise the course is very educational.
por Norman B•
Feb 08, 2016
A decent overview of regression
Jun 22, 2016
Advance topic in regression model.
por Talant R•
Oct 25, 2016
Great course to learn various regression models and "R" tools to implement them efficiently, but
was little hard to keep with the deadline.
por Ankush K•
Jan 16, 2018
really informative with helpful examples.
por Richard M A•
Dec 23, 2016
This was better than the statistical inference course, but Brian still puts too much emphasis on the precision of his language (as if he's teaching to other mathematicians) which makes it difficult to understand. I would like to see a bit more dumbed down explanation of the mathematics in the examples (similar to Sal at Khan Academy). If that happened, this would definitely be a 5 star course.
por Bill K•
Feb 10, 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.
por Manojkumar P•
Nov 08, 2016
por Peter G•
Feb 10, 2016
First 3 weeks give very reasonable overview of the subject - topics of linear / polynomial / multivariate regression are covered quite well.
Week 4 is a bit sloppy and ad-hoc, comparing to first 3 weeks - GLMs are given poorly.
por Andrea S•
Feb 25, 2017
Very good material but often too fragmentend/messy. The notes would need re-writing.
por Mohamed T•
Mar 19, 2018
Great course, learned a lot. The only point is that I was hoping to learn more about general linear models and its applications.
por Billy J•
Apr 07, 2016
Videos were very difficult to follow along with. Overall, I learned a good amount though.
por Diego C•
May 04, 2019
Very good course. Though basic, it provides you with the first tools and knowledge. The forums aren't what they used to be it seems, but you can find almost any answer there from past courses.
May 16, 2019
Great introduction to regression models. A ton packed into the class. Be ready to be challenged, but you'll learn a lot.