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Вернуться к создание команды по науке о данных

Отзывы учащихся о курсе создание команды по науке о данных от партнера Университет Джонса Хопкинса

Оценки: 3,248

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.
Основные моменты
Applicable teachings

(рецензий: 79)

Brief, helpful lectures

(рецензий: 11)

Лучшие рецензии


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.


14 янв. 2021 г.

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.

Фильтр по:

426–439 из 439 отзывов о курсе создание команды по науке о данных

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.

автор: Scott W

14 мар. 2018 г.

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

автор: stephane d

25 сент. 2021 г.

Great course but too much unsolved issues with quizzes

автор: Craig A B

17 мая 2019 г.

It's a bit too general, and listy.

автор: Himanshu P

20 нояб. 2017 г.

pointless course....

автор: David J

4 нояб. 2019 г.

Should not be part of a course "Executive Data Science". very basic and no real insight into what makes a data science team different (if indeed it is).

автор: Luis H

22 июня 2018 г.

No me gustó, dado que la información no es clara y no se puede avanzar de forma adecuada debido a que las evaluaciones son muy confusas.

автор: Karen D

22 июня 2017 г.

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

автор: Deleted A

2 нояб. 2016 г.

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

автор: Ananth K

11 мар. 2017 г.

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

автор: Poon F

26 янв. 2018 г.

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

автор: Seyyed M A D

19 апр. 2018 г.