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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: 3,247

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:

201–225 из 439 отзывов о курсе создание команды по науке о данных

автор: Lisa K

15 апр. 2016 г.

Excellent Course and Series!

автор: Nupur B

30 сент. 2015 г.

Very Informative & Elaborate

автор: John E

19 дек. 2017 г.

Helpful breakdown, thanks!

автор: Ghada

14 февр. 2016 г.

Very enjoyable and useful.

автор: wonjai c

10 авг. 2020 г.

This is very good lecture

автор: Alexander Z

26 дек. 2019 г.

Short and up to the point

автор: Alzum S M

11 янв. 2019 г.

I great course completed.

автор: Gabriel U U

25 мая 2018 г.

Great learning experience

автор: Andre G G

6 мар. 2017 г.

Must do it! Really good!

автор: Ivan D

8 окт. 2016 г.

Good and useful material

автор: Santanu C

17 мая 2017 г.

Excellent.. Thanks Jeff

автор: olgakl77

15 февр. 2017 г.

Nice course. Thank you.

автор: Claudio

12 авг. 2016 г.

Very clearly presented!

автор: sateesh

16 дек. 2015 г.

Great Course, Loved it.

автор: Michelle W

28 февр. 2018 г.

Succinct and engaging.

автор: Chris J C

16 янв. 2018 г.

Pretty engaging class.

автор: Pooja S

6 июля 2017 г.

Great course material!

автор: Tochukwu N

26 нояб. 2015 г.

Excellent presentation

автор: Stephanie A

21 июня 2017 г.

Excellent Instruction

автор: Ignatious C

4 апр. 2017 г.

Really enjoyed myself

автор: Jonathan B

20 нояб. 2020 г.

What a great course!

автор: William R

20 авг. 2018 г.

Excellent Instructor

автор: Mirza A b

23 июля 2017 г.

Excellent experience

автор: Fanick A

18 июня 2016 г.

It does what it says

автор: Terry L J

19 июня 2017 г.

Excellent material.