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.
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.
By Jesse K•
The material was a little disjointed and not always explained with examples. Passing this course required a significant amount of outside study and research.
By Jason M C•
This is a decent class, covering linear regression and a few of its variants in good detail. It's a challenging subject, but presented acceptably here.
By Anamaria A•
Lots of material needs additional study (from different sources) as it's only summarily explained. Much math without the link to the praxis :-(
By Manuel M M•
The content was exposed in a very confused manner. I did not like how the teacher explained. It seemed more difficult than it really is
By LU Z•
Starting from the first week swirl practice, course content is poorly organized making even simple concept difficult to understand.
By Hendrik F•
I find it very tough to understand everything. Buying the course book helps to overcome this. You have to dedicate a lot of time.
By Mark S•
Lots of math, but it would be more productive to focus more on the output of R and better understand the results
Bad audio and video quality. Too fast on some complex ideas and too slow when come repetitions between videos...
By Andres C S•
I think this course needs more emphasis on practical applications and less mathematical background.
By Erwin V•
Very interesting course, yet course content could be spread more evenly (week 4 is really a lot)
By Prabeeti B•
Course has more theoretical concept than application.. It has to be more application based
By Praveen J•
I think a revamping of the concepts in a more ellabroate way is required in the course
By Suleman W•
I did find it difficult to follow and understand some of the materials.
By Rafal K•
Many things are not clear enough in multivariable regression part.
By Eric L•
good quick overview, could have more actual R examples in lectures
By Ansh T•
Topics like logistic regression were not explained clearly
By Angela W•
I learned a lot, but it was so much content for 4 weeks!
By Gareth S•
Expects a level of statistical knowledge already.
By David S•
needed to consult external resources extensively
By Lei M•
Some of the materials are too much math for me.
By xuwei. l•
the lecture notes is a bit confusing
By Marcela Q•
Terrible professor, good book
By Hani M•
By Barry S•
This course is the first one in the Data Science series to lapse in terms of the clarity of the lectures, and the sense of cohesiveness of the material. Brian Caffo's lectures in Statistical Inference were good; in this course they seem to veer left and right rather than get straight to the essence of whatever subject he is lecturing about.
A more structured final project would have been helpful. The instructions on this project weren't quite so blunt as to say "Take this data set, do some regression-y stuff and come back with something about these two variables," but that's basically as far as our instructions went. It could have been a great learning experience to have a more detailed guide through the construction of a regression analysis, but instead an assignment which was 40% of our grade was put together as an afterthought. It was the assignment equivalent of stopping in the 7-11 a block away from a birthday party to buy a card.
Also, in terms of delivering the content: Mr. Caffo needs to structure his slide/video arrangements so that he is not standing in front of the text. Think of it from the point of view of somebody wanting to listen and read at the same time.
By R. H•
The timing on this course is very inaccurate - it should take much longer than 4 weeks, 6 weeks at the absolute minimum. I say this because Week 4 has so much information crammed in of all different types of General Linear Models (i.e. models that are not necessarily a straight line). Binomials, Poisson, splines - each of these topics could have their own weeks, but instead they are quickly summarized for one week with the student expect to understand them for the quiz. The other issue, which has been a problem with all courses in this specialization, is the discussion boards. They are totally abandoned by mods; good luck finding any post that isn't "grade my project? I'll grade yours!" despite a mod post that says such requests will be deleted. The board is totally flood with those requests, and makes me wonder how many people are passing these classes wrongly because "if u give me 100 i will grade yours too!" It totally devalues the program. The creators seemingly abandoning Coursera have made this certificate a waste.