Great course, very informative, with lots of valuable information and examples. Prof. Caffo and his team did a very good job in my opinion. I've found very useful the course material shared on github.
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.
автор: Marco A M A•
This course is better than Statistical Inference, and I think it is as useful. Non credit excersise are still very good at helping with understanding in practice what is going on.
автор: Rok B•
Useful class, but the content often simple in nature was explained in a confusing/complicated way. But the material is important and there is purchase for taking the class
автор: 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.
автор: 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.
автор: 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 :-(
автор: 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
автор: LU Z•
Starting from the first week swirl practice, course content is poorly organized making even simple concept difficult to understand.
автор: 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.
автор: 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...
автор: Andres C S•
I think this course needs more emphasis on practical applications and less mathematical background.
автор: Erwin V•
Very interesting course, yet course content could be spread more evenly (week 4 is really a lot)
автор: Prabeeti B•
Course has more theoretical concept than application.. It has to be more application based
автор: Praveen J•
I think a revamping of the concepts in a more ellabroate way is required in the course
автор: Suleman W•
I did find it difficult to follow and understand some of the materials.
автор: Rafal K•
Many things are not clear enough in multivariable regression part.
автор: Eric L•
good quick overview, could have more actual R examples in lectures
автор: Ansh T•
Topics like logistic regression were not explained clearly
автор: Angela W•
I learned a lot, but it was so much content for 4 weeks!
автор: Gareth S•
Expects a level of statistical knowledge already.
автор: David S•
needed to consult external resources extensively
автор: Lei M•
Some of the materials are too much math for me.
автор: xuwei l•
the lecture notes is a bit confusing
автор: Marcela Q•
Terrible professor, good book
автор: Hani M•