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

2,627 calificaciones
350 revisiones

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 revisiones)
Brief, helpful lectures
(11 revisiones)

Principales revisiones


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

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301 - 325 de 343 revisiones para Building a Data Science Team

por Jose C O B

Jun 17, 2016

The information is useful, but I think the five courses in the specialization could be merged into a single one.

por Paul D

May 10, 2018

Informative but many of the insights apply to good managers in general; not just for data science teams

por Daniel D

Oct 22, 2018

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

por pamandeep s g

Nov 10, 2015

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

por Peter L

Jul 25, 2018

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

por Grant C

Sep 30, 2016

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

por Shafeeq S

Jan 08, 2019

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

por chen s

Sep 27, 2015

Great idea and syllabus.

The videos are too short and missing some explanations.

por Narek V

Feb 06, 2016

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

por Thomas N

Jan 03, 2017

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

por Saurabh G

Aug 13, 2019

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

por Ricardo J O

Jan 05, 2016

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

por Gregory M S

Sep 12, 2019

Too simple. Would have preferred more rigor and more material

por Djana R

Jun 24, 2018

Recommended for managers of IT companies.

por Peter P

Apr 16, 2016

Interesting, but content is a bit limited

por Deepak G

Jun 28, 2016

Very short. Quality of the course is OK.

por Joey S

Feb 27, 2018

The content is OK, but not exciting.

por Angel S

Jan 11, 2016

Quite useful

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 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 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 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 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 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 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.