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Вернуться к Building a Data Science Team

Отзывы учащихся о курсе Building a Data Science Team от партнера Университет Джонса Хопкинса

4.5
звезд
Оценки: 3,038
Рецензии: 416

О курсе

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...
Основные моменты
Applicable teachings
(рецензий: 79)
Brief, helpful lectures
(рецензий: 11)

Лучшие рецензии

NN
14 дек. 2017 г.

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.

PA
6 июля 2020 г.

Well Taught Course , loved the lecturer present the information,for you who want to improved your management skill in data science this course can provide the introduction ,REST ? read a book

Фильтр по:

376–400 из 410 отзывов о курсе Building a Data Science Team

автор: Narek V

6 февр. 2016 г.

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

автор: Thomas N

3 янв. 2017 г.

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

автор: Saurabh G

13 авг. 2019 г.

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

автор: Ricardo J O

5 янв. 2016 г.

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

автор: Gregory M S

12 сент. 2019 г.

Too simple. Would have preferred more rigor and more material

автор: Djana R

24 июня 2018 г.

Recommended for managers of IT companies.

автор: Peter P

16 апр. 2016 г.

Interesting, but content is a bit limited

автор: Deepak G

28 июня 2016 г.

Very short. Quality of the course is OK.

автор: Joey S

27 февр. 2018 г.

The content is OK, but not exciting.

автор: Angel S

11 янв. 2016 г.

Quite useful

автор: Scott K

29 окт. 2018 г.

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.

автор: Krijn v B

8 нояб. 2016 г.

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 ?).

автор: Tony M

3 нояб. 2016 г.

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.

автор: Randhir N

22 дек. 2017 г.

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

автор: Rafael H R

15 апр. 2019 г.

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.

автор: Marek N

7 сент. 2016 г.

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.

автор: Enrique G

29 июля 2020 г.

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.

автор: Jonás G F

20 сент. 2017 г.

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.

автор: Nikhil S

2 мар. 2018 г.

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.

автор: Terry L

24 окт. 2016 г.

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.

автор: Polychronis ( P

13 нояб. 2018 г.

Why wright a review? Since you do not present them publicly so it doesn't make sense to me to give any feedback. :-)

автор: Florian K

21 авг. 2019 г.

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

автор: Marcelo H G

12 июля 2017 г.

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

автор: Sarah S

29 дек. 2019 г.

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

автор: Cheng-Jiun M

12 окт. 2015 г.

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