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

4.5
2,451 calificaciones
334 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. https://flic.kr/p/5vuWZz...
Aspectos destacados
Applicable teachings
(79 revisiones)
Brief, helpful lectures
(11 revisiones)

Principales revisiones

NN

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.

JS

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 328 revisiones para Building a Data Science Team

por Neil K

Aug 07, 2018

While a good introduction for those new to personnel management and leadership roles, this was pretty basic for someone like myself. Great lecturer, great points made, most all of them familiar to me. Thanks!

por Daniel D

Oct 22, 2018

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

por Peter L

Jul 25, 2018

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

por Vijay S K

Jun 14, 2019

A lot of content is more or less generic, same as any software engineering team building. Specific scenarios should have been covered to make it data science team specific.

por Saurabh G

Aug 13, 2019

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

por Polychronis ( P

Nov 13, 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 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.

Thanks

Randhir

por Nikhil S

Mar 02, 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 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 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.

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 Marcelo H G

Jul 13, 2017

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

por Scott W

Mar 14, 2018

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

por Terry L

Oct 25, 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 Cheng-Jiun M

Oct 12, 2015

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

por Himanshu P

Nov 21, 2017

pointless course....

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 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 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 Craig A B

May 17, 2019

It's a bit too general, and listy.

por Florian K

Aug 21, 2019

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

por Ananth K

Mar 12, 2017

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

por Karen D

Jun 22, 2017

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

por Poon F

Jan 26, 2018

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

por Deleted A

Nov 02, 2016

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