Dec 14, 2017
This course was an exceptional experience where it introduces me to building a data science team, its challenges, nuances and also what kind of approach to take while building and sustaining the team.
Jan 14, 2021
Very well organized. Might consider adding couple of additional speakers with with more executive and management level experience with organizations that successfully implemented Data Science.
By Narek V•
Feb 6, 2016
Probably, I wouldn't have a course just about how to hire/build a data team.
By Thomas N•
Jan 3, 2017
needed more depth, which still could have been achieved in a 1-week format
By Saurabh G•
Aug 13, 2019
A little dense on theory. Also a bit dated for certain parts I would say.
By Ricardo O•
Jan 5, 2016
The courses in the specialization are - in my opinion, excessively short.
By Gregory M S•
Sep 12, 2019
Too simple. Would have preferred more rigor and more material
By Djana R•
Jun 24, 2018
Recommended for managers of IT companies.
By Peter P•
Apr 16, 2016
Interesting, but content is a bit limited
By Deepak G•
Jun 28, 2016
Very short. Quality of the course is OK.
By Joey S•
Feb 27, 2018
The content is OK, but not exciting.
By manuel s g•
Jan 9, 2022
This course seems to me too basic
By Angel S•
Jan 11, 2016
By Scott K•
Oct 29, 2018
The content of this course was fine, but the quizzes were very poorly worded. The multiple choice answers were ambiguous and vague, making me spend FAR more time fretting on the interpretation of the phrase "assess a skill used in practice" than on recalling the truth of the course and applying that clearly to an answer. Particularly the Management Strategies and Assembling a Team quizzes were the worst of the set. If the article referenced in the question mentions "gaming the system" TWICE in the text, and that's provided as a possible answer, but that answer is wrong, then the quiz itself fails to accomplish the goal.
By Krijn v B•
Nov 8, 2016
The explanation of roles is clear. So are other remarkt / piffalls / do's and don'ts. But those are valid for all specialist functions
Couple of remarks:
(1) The target audience seems to be the data manager, rather than any executive (C/ C-1 level) of function (HR) dealing with building a data science team.
(2) With regard to management and organizing, I missed the "academic" level (organisational design) nor did it help in setting up data science (where / how to start ?).
By Tony M•
Nov 3, 2016
I'm not sure if the material presented in this course warranted a whole separate course (even if it only was one week). It probably could have been inserted in various segments of a larger data science specialization throughout the classes. Most of the topics discussed should be common knowledge to a mid-level manager of data science or even strategic marketing in general.
By Randhir N•
Dec 22, 2017
Many things were unwanted ....for example Assembling team or On-boarding - are common for all the teams. There was nothing new from Data Science point of view. If you replace the word 'Data Science' by 'Any Project' then also the above mentioned module will have same meaning. Hence I did not like this module.
By Marek N•
Sep 7, 2016
In my opinion this course does not fit to the specialization well. Not sure how big proportion of the specialization students have a background different from data science and are going to manage the data science team.
By Enrique G•
Jul 29, 2020
Good lecturer, but the content is not that insightful. Lots of common-sense recommendations, not so many real life insights. Additionally multiple issues with linked resources and a quiz that is not well defined.
By Jonás G•
Sep 20, 2017
Pretty disappointing, one would expect something more useful and closer to data science, rather than a bunch of void general advises on very basic leadership strategies.
By Nikhil S•
Mar 2, 2018
The course could have been more structured than it is; without excessive overlap of content between different parts, the course could have been more succinct.
By Terry L•
Oct 24, 2016
This material is important, but the assessment quizzes were tedious as the right answer often hung on some small obscure remark that was hard to recall.
By Polychronis ( P•
Nov 13, 2018
Why wright a review? Since you do not present them publicly so it doesn't make sense to me to give any feedback. :-)
By Florian K•
Aug 21, 2019
Some useful insights particular to managing a data science team, otherwise pretty Basic leadership stuff.
By Marcelo H G•
Jul 12, 2017
Needs review and grow a bit the content. Improve concepts and include Operations and Project Management.
By Sarah S•
Dec 29, 2019
Really heavy on the basics of management, vs the skills needed in individual roles.
By Cheng-Jiun M•
Oct 12, 2015
information is useful. But, still, it is a shame to split one month course to 4.