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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: 3,033
•
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:

126–150 из 409 отзывов о курсе Building a Data Science Team

автор: SOM D M

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21 февр. 2017 г.

A quick and Great introduction on building effective Teams

автор: Luis E C

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7 янв. 2016 г.

Excellent resource for a manager in data science projects.

автор: Paulo B M d S

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4 июля 2019 г.

Excelent combination between management and data science.

автор: Nisha S

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26 авг. 2017 г.

This course is a good-start for new Data science managers

автор: Sateesh K R

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9 мар. 2016 г.

Excellent Course for everyone keen to learn data science.

автор: Piyapong B

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5 дек. 2016 г.

Very informative course on building a data science team!

автор: Ashish L

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20 апр. 2019 г.

Very nice overview of how to build a Data Science Team.

автор: Lewis F Z

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18 сент. 2020 г.

Really great lectures and would recommend this course!

автор: Ashish P

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1 июля 2020 г.

Great Understanding of how to build data science team

автор: Livia R d C d

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6 мар. 2019 г.

Straight to the point! Very objective information.

автор: Claudia K J

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5 февр. 2019 г.

EXCELENT CURSE, SO WELL EXPLAINED AND WELL PLANNED

автор: BENSAFOUAN A

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11 мая 2020 г.

i really love this course it was very informative

автор: Abrar J

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5 мая 2020 г.

My First course on management and was a great one

автор: Yash J

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29 апр. 2020 г.

Must do for understanding the Data Science Set Up

автор: diego m

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3 янв. 2020 г.

It was a great course. I was quite useful for me.

автор: ABDALRAHIM A

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6 янв. 2018 г.

Very Important with Managing Data Analysis course

автор: Promod

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28 февр. 2019 г.

Fabulous and easy to understand and internalize!

автор: TJ R

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29 окт. 2020 г.

Outstanding course to start with for a novice.

автор: Maximilian L

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3 мая 2020 г.

Great course with very practical key messages!

автор: Muhd A

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28 окт. 2018 г.

Thank you for providing such a great platform.

автор: Alberto D E

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14 мая 2018 г.

The basic for building and managing a DS team.

автор: Gary L

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9 янв. 2016 г.

Great overview of building a data science team

автор: Ubirajara A T S

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24 нояб. 2015 г.

Very good and interesting course, I recommend!

автор: Paul F

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5 янв. 2018 г.

Excellent overview of the data science team

автор: Ayna M

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15 дек. 2017 г.

So much practical, easy-to-digest material!

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