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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: 3,222
Рецензии: 442

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:

151–175 из 436 отзывов о курсе создание команды по науке о данных


6 янв. 2018 г.

Very Important with Managing Data Analysis course

автор: Promod

28 февр. 2019 г.

Fabulous and easy to understand and internalize!

автор: TJ R

29 окт. 2020 г.

Outstanding course to start with for a novice.

автор: Maximilian L

3 мая 2020 г.

Great course with very practical key messages!

автор: Muhd A

28 окт. 2018 г.

Thank you for providing such a great platform.

автор: Alberto D E

14 мая 2018 г.

The basic for building and managing a DS team.

автор: Gary L

9 янв. 2016 г.

Great overview of building a data science team

автор: Ubirajara A T S

24 нояб. 2015 г.

Very good and interesting course, I recommend!

автор: Paul F

5 янв. 2018 г.

Excellent overview of the data science team

автор: Ayna M

15 дек. 2017 г.

So much practical, easy-to-digest material!

автор: mark g

16 янв. 2017 г.

For those non technical coming to the subje

автор: James J

23 окт. 2016 г.

Really great course, quick yet informative!

автор: Chloe L

18 окт. 2017 г.

Great course, great teacher, super useful!

автор: Matthew B

21 апр. 2016 г.

Great advice, helpful reference material.

автор: José B A F

24 февр. 2018 г.

The course achieved all my expectations.

автор: Franziska M

30 апр. 2017 г.

This course was very helpful! Thank you.

автор: Naren

2 мар. 2017 г.

Very helpful and easy learning and objec

автор: suresh

4 дек. 2016 г.

very informative with practical inputs.

автор: Adli I

13 нояб. 2020 г.

Very informative and insightful course

автор: Reiner P

19 мая 2020 г.

The course was good, also the content.

автор: Silvia T

1 мая 2018 г.

Excellent course. Great presentations.

автор: austin v v

23 апр. 2018 г.

Simple and powerful, really well done.

автор: Gurpreet K K

10 дек. 2020 г.

Simple narrative. Liked the content.

автор: Gregory L

27 нояб. 2019 г.

Great overview course on the subject

автор: Christos R

2 июня 2019 г.

Very nice course, highly recommended