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

4.5
estrellas
3,123 calificaciones
429 reseña

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. https://flic.kr/p/5vuWZz...
Aspectos destacados
Applicable teachings
(79 reseñas)
Brief, helpful lectures
(11 reseñas)

Principales reseñas

NN
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.

SM
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.

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376 - 400 de 423 revisiones para Building a Data Science Team

por Niels v G

8 de feb. de 2016

Building a Data Science Team does indeed contain helpful recommendations for starting data science teammanagers/executives; for me it had a little too much of a Hu

por Marc P M

20 de oct. de 2017

This course is mainly theoric.

The practice depends on opportunity to apply it on your work place.

Directly, this course doesn't provide any new verifiable skill.

por Katherine d T

20 de abr. de 2017

It was a bit.... general. That could be a bias of mine, as I have done quite a bit of management-type work, so maybe it didn't feel that new or informative.

por Todd

17 de feb. de 2018

Some helpful suggestions but too much content on general, common sense management principles. Should be more focused on specifics of data science.

por Bart v d G

3 de dic. de 2017

A lot of open doors if you have management experience but provides some overview of what to take into account specifically for a data science team

por YIMIN Q

15 de ago. de 2017

This class might not be designed for people who have had years of managerial experiences in a large organization.

por Jose C O B

17 de jun. de 2016

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

por Paul D

10 de may. de 2018

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

por Daniel D

22 de oct. de 2018

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

por pamandeep s g

10 de nov. de 2015

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

por Peter L

25 de jul. de 2018

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

por Grant C

29 de sep. de 2016

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

por Shafeeq S

8 de ene. de 2019

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

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 J 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 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.