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 Hernan S•
Apr 16, 2016
The subject is interesting, but the explanations are a little confusing. May need more diverse real-life examples to relate.
par Masahiro H•
Mar 27, 2016
it gives an idea of how one is prepared to ingress to Data Science. I
see that I need to review it more carefully later on.
par Stavros S•
Nov 21, 2019
Weeks 3 and 4 should have been split into 2 extra weeks to explain the concepts deeper and also have more exercises
par Marcus H Y T•
Jun 02, 2019
Concepts are not well explained and slides are not well prepared. Last few topics are too brief to be useful.
par Maria C I S•
May 02, 2019
3 stars because a total beginner would not have been able to follow these lessons without a lot of rewinding.
par Joe F•
Nov 27, 2016
Materials need to be updated - there are way too many inconsistencies between videos, exercises, and slides.
par Vasudevan D•
Jan 28, 2018
Too much concepts to learn and practice. Course material can be little more engaging and split accordingly.
par Maxim M•
Dec 10, 2017
Very difficult lectures. You need a solid statistical background to keep up with the pace of the professor.
Mar 02, 2017
The ideas and concepts explained here are really important but are explained/written in a bit messy manner.
par xuwei l•
Sep 22, 2016
lectures notes is not details enough, had to google around other materials to grasp the courser work better
par Rezoanoor/CS/Rezoanoor R•
Mar 13, 2020
It covers a lot of topics, good for that but submitting assignment via Swirl is extremely boring.
par manuel s g•
Jul 05, 2020
This is module where I have learn less. Instructor also was not dynamic as previous ones.
par Codrin K•
Mar 05, 2018
Too bad it all starts from mathematical theorey; I would prefer a problem based approach.
par Alex F•
Feb 12, 2018
Very detailed and a little painful :) but I am sure it will be useful information
par Lindsay S•
Mar 02, 2017
These are complex topics, and just the quick overview doesn't fully explain them.
par Gibson W•
Feb 10, 2016
Not one a statistics newbie should take, had to take it twice just to grasp 80%
par Bernardo D F d S•
May 20, 2016
Content runs a bit fast but good course for stat inference with R focus.
par Chunyue Z•
Jun 16, 2019
The materials are not so clear to someone who's not familiar with stat.
par Ali M•
May 03, 2017
Concepts weren't explained properly. The instructor was going too fast.
par Tomasz J•
May 04, 2016
It's quite involved, fast and not explained thoroughly in some places.
Jun 13, 2017
Unfortunately, the manner of presenting information desires the best.
par Sushil K•
May 10, 2016
Steep Learning Curve. Swirl exercises are important for this course
par B S•
Apr 25, 2018
Less good than expected. Explanations could be more clear.
par Pulkit K•
May 26, 2018
I don't like the example and the explanation at all.
par Jim M•
Jun 07, 2020
Great material, but could be better organized.