Mar 01, 2017
A long course compared to others in the specialization, but a lot of great material. Very well presented, the instructors know how to present this material and make it easy to grasp and understand.
Nov 23, 2016
The course is full of the cases and the real life examples coupled with the theory background. Its very simple to understand and the course will definitely be of an value for people looking for
автор: ELINGUI P U•
Nov 04, 2018
Very informative, but not easy to follow.
автор: Brenden M•
Apr 21, 2019
автор: RANJITH D•
Apr 07, 2019
This course is not for a person without any idea of Data analysis or Statistics. This course isn't for beginners. The content could have been presented even better with lucid examples.
автор: Amit J•
May 14, 2019
автор: Augustina R•
Dec 29, 2016
Content could have been boiled down to about 3 lectures. Most of it was common sense. The high level over view of the life cycle of data analysis projects was interesting and overall this was a good introduction to the field.
автор: Jose C O B•
Aug 07, 2016
I think these courses need to be condensed into a single one as the contents are rather limited individually.
автор: Suzen C•
Oct 20, 2015
Lecture component not as concise or well edited as expected.
Jul 13, 2016
Concise overview. Worthwhile introduction.
автор: Kamil P•
Nov 16, 2016
It is quite general, I liked the examples, although there could be more varied examples from many other dissimilar disciplines.
автор: Deepak G•
Jun 28, 2016
Very short. Quality of the course is OK.
автор: Deleted A•
Nov 02, 2016
Lots of talking head videos without enough visual aids to solidify the adult learning process. Not very "Executive level" as the course title and description imply. I would expect more "TED Talk" level lectures and materials, with plenty of real-world examples. Content in these courses seem more "new manager / new supervisor" level, if not actually geared toward an undergrad audience.
автор: Siddharth M•
Mar 26, 2017
The course was very informative but the slides were a little boring. The content could have been more engaging. Sometimes the supplementary reading contained examples that could have been better explained in a video. I would have appreciate a more comprehensive explanation of content on slides using markers or pointers. Sometimes I did not know where I needed to focus. I hope the instructors create more videos for the same content. This is may be because I am more of a visual or an engaged learner.
автор: Matthew B•
Apr 21, 2016
Didn't get much into the managerial aspect of a data analysis. Instead, it covered best practices for conducting a data analysis. Not the same thing and a little disappointment.
автор: Weihua W•
Jan 19, 2016
Too abstract, too expensive.
автор: Marc B•
Sep 17, 2016
Lot of talking, lack of visual, templates, etc.
автор: Christina W•
Feb 01, 2018
It would be nice to have listed points or tables to summarise/compare context.
As well, it would be good to introduce example separately rather than mixing with the explanation of subject.
автор: Sona L•
Oct 20, 2015
Too theoretical for my needs but gives a good background to how to approach analytics.
автор: Boris L•
Oct 05, 2015
Not much substance to take from this.
автор: Deleted A•
Aug 08, 2016
Personally not a big fan of Roger Peng's approach while teaching. The lessons get a bit confusing, and so does the questions from the quiz.
Jeff Leek's approach is more calm and simple.
Nevertheless, the course in general is really good.
автор: Alex F•
Jan 30, 2018
Good baseline - might be hard to follow for someone who has not been working the DS Specialization
Sep 17, 2017
автор: Joe Y•
Jun 03, 2018
The questions can get a little too wordy. Find the questions difficult to follow after reading the entire length.
автор: Ruchit G•
Apr 12, 2018
More case study to relate will be very useful
автор: Sebastian C•
Jul 02, 2019
The videos are to long, but the content is great.
автор: Hana P•
Jul 21, 2019
If only the course lasted a little bit longer... for those who wish to complete the course as soon as possible, this is the course you should take otherwise i personally find it hard to get the idea of what really "managing data analysis" means other than its basic concepts and models/ trends etc.