Dec 15, 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.
Mar 12, 2017
Extremely practical and essentially human, this was really interesting to better understand the different roles and how to help data science teams to work together, highly recommended
por Neil K•
Aug 07, 2018
While a good introduction for those new to personnel management and leadership roles, this was pretty basic for someone like myself. Great lecturer, great points made, most all of them familiar to me. Thanks!
por Daniel D•
Oct 22, 2018
As having experience managing researcher the subject is not completely new, so it can seems long.
por Peter L•
Jul 25, 2018
Added value is highly dependent of your experience with data analysis or data engeneering
por Vijay S K•
Jun 14, 2019
A lot of content is more or less generic, same as any software engineering team building. Specific scenarios should have been covered to make it data science team specific.
por Saurabh G•
Aug 13, 2019
A little dense on theory. Also a bit dated for certain parts I would say.
por 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. :-)
por 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.
por Nikhil S•
Mar 02, 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.
por Krijn v B•
Nov 08, 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 ?).
por Jonás G F•
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.
por Marek N•
Sep 07, 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.
por Marcelo H G•
Jul 13, 2017
Needs review and grow a bit the content. Improve concepts and include Operations and Project Management.
por Scott W•
Mar 14, 2018
Good material, but lectures were poorly organized. Quizzes were poorly done.
por Terry L•
Oct 25, 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.
por Cheng-Jiun M•
Oct 12, 2015
information is useful. But, still, it is a shame to split one month course to 4.
por Himanshu P•
Nov 21, 2017
por Tony M•
Nov 03, 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.
por 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.
por Rafael H R•
Apr 15, 2019
Horrible experience with one quiz where I lost hours just because it is completely misleading, tricky and bad formulated. Many people had the same experience from long time ago and they didn’t have the courtesy to fixed it.
por Craig A B•
May 17, 2019
It's a bit too general, and listy.
por Florian K•
Aug 21, 2019
Some useful insights particular to managing a data science team, otherwise pretty Basic leadership stuff.
por Ananth K•
Mar 12, 2017
This seemed more appropriate for a startup, and most of the content was rudimentary
por Karen D•
Jun 22, 2017
Seemed like his personal ideas. I didn't see any indication the information was based on any research or empirical study.
por Poon F•
Jan 26, 2018
Course materials are not organized. Too much talk with too little substance.
por Deleted A•
Nov 02, 2016
Rudimentary HR / new supervisor level information. Not specific to Data Science either.