Oct 26, 2018
Course is compressed with lots of statistical concepts. Which is very good as most must know concepts are imparted. Lots of extra reading is required to gain all insights. Very good motivating start .
Mar 22, 2017
The strategy for model selection in multivariate environment should have been explained with an example. This will make the model selection process, interaction and its interpretation more clear.
par Manny R•
Dec 29, 2018
this is a difficult subject that takes a lot of practice to understand. would like to see the course time and materials extended. It would also be helpful to have live online sessions with instructor and classmates.
par Karishma A•
Mar 21, 2018
I think the course was very informative but it took me about 3 months to finish course. Lot of important concepts have been condensed to one or two slides which makes it really hard to grasp the concept quickly.
par BAUYRJAN J•
Nov 28, 2016
This course is great, but Brian is certainly not a good instructor. He does not explain things well, and articulate examples. I had to take Statistical Inference from Duke university to pass this course.
par Devashish S•
Oct 14, 2016
This course is poorly taught. The instructors often speed through significant concepts and are generally unable to explain the concepts clearly to someone who does not have a major statistics background.
par Jennifer D•
Mar 03, 2016
Taught very quickly and assumes a high degree of math fluency. Only take this if you are either very fluent in math already or have a significant amount of time to devote to understanding the material.
Jun 14, 2016
Very poor instruction and organization of topics, very poor explanation of core concepts. I learned more from reading other sources while taking the class than I did from the lectures.
par Yohan A H•
Jul 10, 2019
The topics are very interesting and there is no dude that the teacher knows wath he is teaching, even though I think it can be better with more grapics splanations and less formulas.
par marie s•
Jul 05, 2017
A lot of the course were not explained in a way that made it easy to understand for a neophyte. I had to go re-watch most of the lessons on khan academy to understand the principles.
par Esha D•
Feb 11, 2016
professors caffo and leek go way too fast and are completely monotonous. the examples they use assume we know basic stats when likely most of us are a bit rusty.
Feb 06, 2016
The class needs to be more accessible especially for non statisticians, I learned more from khan academy which got me through this class than the class itself
par Peggy C•
Feb 01, 2016
This is the worst course so far. This should be a 2 month course or the course descritpion should be changed to make sure you have some statistics knowledge.
par Jose P•
Mar 21, 2018
Course needs more hands on example on all statistical inference tools - trying to disconnect from the daily routine and dive right into stats was difficult.
par Nelson G C G•
Mar 29, 2016
There are better courses on the subject on coursera and other platforms. It worth it pursuing it if you are interested in joining the capstone project.
par Romain F•
Jun 09, 2016
Seemed like a "ghost" course, issues reported with the swirl package, duplicate questions in the final assessment, where is the instructor ?
par Shikha B•
May 10, 2016
Teaching material is fine. The Professor's explanation is monotonic and he uses textual definitions rather than simple explanations
par Emanuel A F d S•
Jul 23, 2017
The course lectures are very confusing. I had to read a statistics book to clarify some of the concepts.
par Mario R•
Jan 30, 2016
The instructor is not very good when compared to the others that are involved in this specialization.
par ooi s m•
Jun 13, 2017
Lots of formula without detail explanation, not recommended for people without statistics knowledge.
par Fabian H•
Jun 15, 2016
Concepts are very hard to understand, even with some background knowledge in statistics.
par Chengde W•
Jun 24, 2017
He is just reading the slides. I'd prefer to read a book rather than watch the videos.
par Gareth S•
Jun 14, 2017
Assumed a level of knowledge of stats already. Found it went too complex too quickly.
par Haolei F•
Apr 15, 2016
Not beginner friendly, might be good as a refresher for grad students
par Daniel R•
May 14, 2016
This course was more like a glossary. Not quite good but practical
par Colin B•
Feb 02, 2019
Teacher is a bit erratic. It makes the course hard to follow.
par Peter H•
May 17, 2016
Poor concepts exposition with a bad teaching method.