As having experience managing researcher the subject is not completely new, so it can seems long.

Good interesting material but the quizzes were badly designed and did not test concepts well.

Added value is highly dependent of your experience with data analysis or data engeneering

There could be more work in the assignments in this course. The Quizzes are very simple.

Good on understanding roles each has to play. but very lengthy to explain those.

Great idea and syllabus.

The videos are too short and missing some explanations.

Probably, I wouldn't have a course just about how to hire/build a data team.

needed more depth, which still could have been achieved in a 1-week format

A little dense on theory. Also a bit dated for certain parts I would say.

The courses in the specialization are - in my opinion, excessively short.

Too simple. Would have preferred more rigor and more material

Recommended for managers of IT companies.

Interesting, but content is a bit limited

Very short. Quality of the course is OK.

The content is OK, but not exciting.

This course seems to me too basic

Quite useful

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.

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 ?).

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.

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.

Thanks

Randhir

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.

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.

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.

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.