Learner Reviews & Feedback for Managing Data Analysis by Johns Hopkins University
About the Course
(3 Reviews)
(24 Reviews)
Top reviews
EL
Feb 28, 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.
ST
Nov 22, 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
426 - 450 of 459 Reviews for Managing Data Analysis
By Christina W
•Jan 31, 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.
By SJ H
•May 17, 2020
If you are not extremely careful, Professor Peng will absolutely deflate your enthusiasm towards data science. That is as pleasant as I can be. Otherwise it's good learning material.
By 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.
By 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.
By Joe Y
•Jun 3, 2018
The questions can get a little too wordy. Find the questions difficult to follow after reading the entire length.
By Jose C O B
•Aug 7, 2016
I think these courses need to be condensed into a single one as the contents are rather limited individually.
By Pablo S
•Apr 19, 2021
will like more examples detail to understand the plots more interpretation instead generation examples
By Alex F
•Jan 30, 2018
Good baseline - might be hard to follow for someone who has not been working the DS Specialization
By Sona L
•Oct 20, 2015
Too theoretical for my needs but gives a good background to how to approach analytics.
By Julian P
•May 18, 2020
too much time between the videos and the related questions to the videos
By Suzen C
•Oct 19, 2015
Lecture component not as concise or well edited as expected.
By Enzo D
•Apr 9, 2020
The course is good, but too general and a little boring :(
By Sebastian C
•Jul 2, 2019
The videos are to long, but the content is great.
By Marc A B
•Sep 17, 2016
Lot of talking, lack of visual, templates, etc.
By Ruchit G
•Apr 12, 2018
More case study to relate will be very useful
By JFW
•Jul 13, 2016
Concise overview. Worthwhile introduction.
By Deepak G
•Jun 28, 2016
Very short. Quality of the course is OK.
By Boris L
•Oct 5, 2015
Not much substance to take from this.
By Daniel D
•Sep 27, 2019
Many very useful information.
By Weihua W
•Jan 18, 2016
Too abstract, too expensive.
By Mohamed T K
•Jun 26, 2020
Good,but boring slightly
By Tristan C
•May 16, 2020
Ok but a bit light.
By TCSONG
•Sep 17, 2017
不推荐没有实际经验的人学
By Albert P
•Jan 27, 2022
Approaches the topic from a perspective that's too academic and pedantic for working professionals. Practical, useful insights are low. The frameworks presented here just don't seem very useful and end up making data analysis seem more confusing than it really is.
By Andre R
•Nov 28, 2016
Not as I expected. More readings than practices/exercises. Seems more target on traditional statistics than machine learning.
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