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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: 3,221
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:

76–100 из 436 отзывов о курсе создание команды по науке о данных

автор: Gautam R

1 мая 2020 г.

Needed some real life case studies (from the market) - Like day-to-day issues and how it was resolved.

автор: Elton K

14 дек. 2018 г.

Interesting for a Non-Data Science Executive despite some minor spelling errors in video transcripts.

автор: Dimitrios L

19 мар. 2018 г.

really helpful since i found many occasions that i can use this course's material for my organization

автор: Olga A

18 янв. 2017 г.

Very good course! Thanks to it, i got an interest in developing my skills in Data Analysis further.

автор: Carolina D

28 дек. 2020 г.

All the topics are right on point... they reflect exactly what is happening in corporations today.

автор: ANNE G S

18 мар. 2019 г.

I found the subject matter well-presented. The content is actionable and the instructor engaging.

автор: Robert W

18 нояб. 2017 г.

This is a great course for gaining a top-level understanding of how to build a Data Science team.

автор: Miguel Á

4 дек. 2020 г.

Proporciona una visión general muy útil como punto de partida para construir tu propio equipo.

автор: Liz H

15 окт. 2017 г.

good coverage of skills needed, what a manager of this type of team would need to look out for.

автор: Samuel V

11 февр. 2017 г.

Jeff Leek is great, explains things in a very clear and understandable way. Loved the course.

автор: Luis A

14 мар. 2019 г.

The Professors are world class and the courses provide a great overview of an emerging field.

автор: Craig O

18 июня 2017 г.

Great overview of current approaches to management of data science/engineering professionals.

автор: Anupama B M

13 окт. 2016 г.

This course delivered all the materials the way I expected it to and was easy to understand.

автор: Nino G

27 окт. 2020 г.

Honestly, I liked this course very much. Ver well lead by instructor and intretsing topics.

автор: Diego B

26 янв. 2019 г.

It's a really good overview with severals useful tips and tricks on how to build our team!

автор: Olivier T

15 апр. 2020 г.

Really well created for executives who are not necessarily looking for data training.

автор: José L M A

3 мар. 2019 г.

Very good material. Concise and simple. It has been thoroughly worked out. Good job!

автор: Joseph S

16 июля 2017 г.

Great Course. very helpful in my current assignment in leading a Data Science Team.

автор: Alma D V R

6 нояб. 2020 г.

Permite entender las habilidades que debe de integrar el equipo de data science y

автор: Prasad S

11 июля 2020 г.

Short and concise, yet covers all important areas of Building a Data Science Team

автор: Shabana S

18 июня 2018 г.

super engaging, there's no extra fluff that's not applicable. a good use of time

автор: Danylo A

5 янв. 2021 г.

There is not so much other content on this topic, so that's why 5 start review.

автор: Elias I

22 мая 2020 г.

present best practices in team building while specific to data science personel

автор: David I S

29 мар. 2017 г.

Very good overview , very interesting and with a very good management approach.

автор: Ning Z L

28 мар. 2016 г.

Easy to understanding the structure knowledge of building a data science team.