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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: 3,166
Рецензии: 436

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.

SM
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:

326–350 из 429 отзывов о курсе Building a Data Science Team

автор: Keuntae K

6 мар. 2018 г.

Overall, this course is good. Some sections seem to be quite lengthy.

автор: Rubén D C R

25 сент. 2016 г.

I will like a little more of excersices, "real"/"simulate" problems.

автор: Kitven L

30 дек. 2020 г.

Can make the courses more concise but overall useful information

автор: Siddharth M

11 мар. 2017 г.

This course was much better than the previous one in the series.

автор: Luis C

16 февр. 2016 г.

A good overview on how to build and manage data science teams.

автор: Stamatis-Christos S

7 дек. 2020 г.

questions in 2 of the quizzes were complicated for no reason.

автор: Ruchit G

19 мар. 2018 г.

Good overview and learning on how to build data science teams

автор: Lai Y W @ L Y W

14 авг. 2020 г.

Easy to learn a lot of insights of data science team set up.

автор: Srinivasa L

1 дек. 2017 г.

Good class for some one completely new to building DS teams

автор: Nilay B

18 дек. 2016 г.

Material presented was succinct and easily understandable.

автор: Matheus R

6 февр. 2016 г.

Good overview on the roles and how to align expectations.

автор: Ankush B

4 нояб. 2015 г.

Covers theory of basics for building the team very well.

автор: Juliana A

12 июля 2017 г.

Very informative but a bit repetitive ate some points.

автор: Naveen S S

22 апр. 2020 г.

Course materials are really good which provides

автор: Murat K K

16 нояб. 2017 г.

Good overview for beginners. I totally suggest.

автор: Stephanie G

20 мая 2018 г.

A brush up on management 101 with a data twist

автор: Federico J D F

6 сент. 2020 г.

The class content was very clear and concise.

автор: Weihua W

18 янв. 2016 г.

Expensive course.

Good for how to find a team.

автор: Nachum S

11 июля 2018 г.

Good, some of it a bit basic and general

автор: Brian N

10 апр. 2018 г.

Good for introduction in Data Science

автор: suman c

25 февр. 2018 г.

Gave summarized managerial overview.

автор: naresh

12 янв. 2017 г.

Easy to understand and very valuable

автор: TANDLE A K

2 июня 2020 г.

interesting courses to learn online

автор: Clara A R

26 дек. 2018 г.

I really liked the course structure

автор: SIVA A M

14 окт. 2015 г.

Topics are explained pretty good