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.
Feb 12, 2016
way to much emphasis on non-data science. This one course covers more information that the rest of the courses combined..
by Izabela E•
Aug 12, 2016
Difficult, fast peaced and not well explained. Requires a lot of work.
by Ritu B•
Feb 07, 2016
Appears more like a revision for those who already know the content than geared towards those new to the subject.
by Pedro J•
Jun 06, 2016
The professor doesn't explain clearly as part of the videos is his correcting himself or saying the same thing two or three times. And why must the videos show the teacher? It distracts from the slides and seeing him move doesn't help understand anything better
Concepts like VIF or hat values are not very well explained by the teacher, at least the SWIRL lesson explains it correctly. ANOVA and ANCOVA are mentioned in the description but they aren't explained anywhere. ANOVA is used without any explanation of what it is.
I found myself searching online for other sources to understand the concepts.
by Daniel R•
May 14, 2016
Some topics that are important, are obviated
by Mohamed A•
Nov 02, 2016
This course failed greatly to balance the workload by week. The third week which I think was the most important one have too many information to learn and assimilate whereas the first two weeks could be rearranged to start multivariate regression earlier. Another proof of week 3 issue: the related swirl exercises start in week2 (2 of them) and finish in week4 (2 more exercises) !!!!!
I think one of the most important expertise and knowledge that a data scientist must know and master was unfairly squeezed in one week leaving no time for the learner/student to do more search/exercises on the subject.
by Ankit S•
Oct 24, 2018
not effective for new learnners
by Grigory S•
Aug 20, 2018
One of the most difficult courses in the whole programme. From my point of view it is very important, but not so well explained. I had to go through other training sessions in order to understand the concept based on numerous practical examples and then return to Coursera to finish it up.
by Thej K R•
May 13, 2019
Worst teaching by Brian Caffo! typos in quizes after 4 years even. And brian has put very littel effort into making it digestable for students. Look at his lectures on youtube and I have commented at each lecture! So bad. A simple googling outside of his notes was so much more better for understanding regression!
by 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.
by 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.
by Vineet J•
Jul 30, 2017
not good tutor
by Matt G•
Feb 15, 2016
Poorly designed, executed and instructed. Too much is left off the materials.
by Stephen E•
Jun 27, 2016
To be honest I don't think this is worth the money.
by 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.
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?
by Martin L•
Jul 26, 2017
Very poor - the worst of the specialization courses by far. The lectures are confusing and poorly presented. If you want to understand regression you'll have to look elsewhere.
by Eric T•
Feb 21, 2017
Important material, poorly taught.
by 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.
by louis d•
Jun 11, 2016
Content and quizz are not aligned.
Mentors answer to 0% of the forum posts.
Poor student community.
Do not pay for this course, just follow the swirl and/or get some tuto about regressions.
by Shahryar N•
Nov 29, 2018
The course is awfully simplified.
by 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