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.
교육 기관: Jing Z•
Feb 08, 2016
I just realized that you have to upgrade(pay $49) in order to submit the quiz and receive the feedback. That's depressing since my purpose is to watch the video and check out what I learned so far without getting any certificate. The policy here bring huge inconvenience for people like me.
교육 기관: 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.
교육 기관: Paul K•
Mar 28, 2017
Slightly better than the Statistical Inference course, but many of the same technical and delivery defects persist. With an otherwise high quality program, I recommend re-producing the inference and regression lectures to increase the overall value of the curriculum.
교육 기관: Stefano G•
Jul 20, 2017
I love the content but:
imprecision (a lot),
lack of explanation
for one of the most difficult subject in the specialization.
Last commit/update for the video from the teacher 1/2 year ago: are the materials update?
교육 기관: Coral P•
Jul 20, 2017
I would like to propose that instead of putting the optional reading materials at the back, it should be put up front and mandatory. Else we can't follow the videos
교육 기관: Jorge P•
Jun 07, 2016
Should cover a lot of dfificuties when the model assumptions are violated and should be for a longer time or having a second course about this theme.
교육 기관: João R•
Aug 20, 2017
Needs more practical examples. Could be rerecorded. I love mathematical theory but past week 2 it is really too theoretical, in my opinion.
교육 기관: Brian•
Feb 12, 2016
way to much emphasis on non-data science. This one course covers more information that the rest of the courses combined..
교육 기관: 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.
교육 기관: Rich•
Mar 03, 2016
Very difficult. Needs homework problems guided by videos like Statistical Inference coarse to make easier.
교육 기관: Albert B•
Jan 09, 2017
To fast pace and missing lot of content to make this lesson enjoyable!!!
교육 기관: Izabela E•
Aug 12, 2016
Difficult, fast peaced and not well explained. Requires a lot of work.
교육 기관: Sepehr S•
Mar 11, 2016
The instructor is not good and doesn't explain things clearly.
교육 기관: Daniel R•
May 14, 2016
Some topics that are important, are obviated
교육 기관: Joseph D•
Apr 29, 2016
Coursera keeps changing my rating. Not cool.
교육 기관: Ankit S•
Oct 24, 2018
not effective for new learnners
교육 기관: 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: 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.
교육 기관: 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?
교육 기관: 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
교육 기관: 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.
교육 기관: Matt G•
Feb 15, 2016
Poorly designed, executed and instructed. Too much is left off the materials.