Opiniones y comentarios de aprendices correspondientes a Building a Data Science Team por parte de Universidad Johns Hopkins

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.

It's a bit too general, and listy.

pointless course....

Should not be part of a course "Executive Data Science". very basic and no real insight into what makes a data science team different (if indeed it is).

No me gustó, dado que la información no es clara y no se puede avanzar de forma adecuada debido a que las evaluaciones son muy confusas.

Seemed like his personal ideas. I didn't see any indication the information was based on any research or empirical study.

Rudimentary HR / new supervisor level information. Not specific to Data Science either.

This seemed more appropriate for a startup, and most of the content was rudimentary

Course materials are not organized. Too much talk with too little substance.

Thanks