Learner Reviews & Feedback for Building a Data Science Team by Johns Hopkins University

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.

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.

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.

Why wright a review? Since you do not present them publicly so it doesn't make sense to me to give any feedback. :-)

Some useful insights particular to managing a data science team, otherwise pretty Basic leadership stuff.

Needs review and grow a bit the content. Improve concepts and include Operations and Project Management.

Really heavy on the basics of management, vs the skills needed in individual roles.

information is useful. But, still, it is a shame to split one month course to 4.

Good material, but lectures were poorly organized. Quizzes were poorly done.

Great course but too much unsolved issues with quizzes

It's a bit too general, and listy.