Chevron Left
Volver a formación de un equipo de ciencia de los datos

Opiniones y comentarios de aprendices correspondientes a formación de un equipo de ciencia de los datos por parte de Universidad Johns Hopkins

3,229 calificaciones

Acerca del Curso

Data science is a team sport. As a data science executive it is your job to recruit, organize, and manage the team to success. In this one-week course, we will cover how you can find the right people to fill out your data science team, how to organize them to give them the best chance to feel empowered and successful, and how to manage your team as it grows. This is a focused course designed to rapidly get you up to speed on the process of building and managing a data science team. Our goal was to make this as convenient as possible for you without sacrificing any essential content. We've left the technical information aside so that you can focus on managing your team and moving it forward. After completing this course you will know. 1. The different roles in the data science team including data scientist and data engineer 2. How the data science team relates to other teams in an organization 3. What are the expected qualifications of different data science team members 4. Relevant questions for interviewing data scientists 5. How to manage the onboarding process for the team 6. How to guide data science teams to success 7. How to encourage and empower data science teams Commitment: 1 week of study, 4-6 hours Course cover image by JaredZammit. Creative Commons BY-SA.
Aspectos destacados
Applicable teachings

(79 reseñas)

Brief, helpful lectures

(11 reseñas)

Principales reseñas


14 de dic. de 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.


14 de ene. de 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.

Filtrar por:

401 - 425 de 437 revisiones para formación de un equipo de ciencia de los datos

por Chen S

27 de sep. de 2015

Great idea and syllabus.

The videos are too short and missing some explanations.

por Narek V

6 de feb. de 2016

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

por Thomas N

3 de ene. de 2017

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

por Saurabh G

13 de ago. de 2019

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

por Ricardo O

5 de ene. de 2016

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

por Gregory M S

12 de sep. de 2019

Too simple. Would have preferred more rigor and more material

por Djana R

24 de jun. de 2018

Recommended for managers of IT companies.

por Peter P

16 de abr. de 2016

Interesting, but content is a bit limited

por Deepak G

28 de jun. de 2016

Very short. Quality of the course is OK.

por Joey S

27 de feb. de 2018

The content is OK, but not exciting.

por manuel s g

9 de ene. de 2022

This course seems to me too basic

por Angel S

11 de ene. de 2016

Quite useful

por Scott K

29 de oct. de 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 Krijn v B

8 de nov. de 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 Tony M

3 de nov. de 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 Randhir N

22 de dic. de 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 Marek N

7 de sep. de 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 Enrique G

29 de jul. de 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.

por Jonás G

20 de sep. de 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 Nikhil S

2 de mar. de 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 Terry L

24 de oct. de 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 Polychronis ( P

13 de nov. de 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 Florian K

21 de ago. de 2019

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

por Marcelo H G

12 de jul. de 2017

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

por Sarah S

29 de dic. de 2019

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