Chevron Left
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: 2,988
Рецензии: 405

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

Dec 15, 2017

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

Jul 07, 2020

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 398 отзывов о курсе Building a Data Science Team

автор: Piyapong B

Dec 05, 2016

Very informative course on building a data science team!

автор: Ashish L

Apr 20, 2019

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

автор: Lewis F Z

Sep 18, 2020

Really great lectures and would recommend this course!

автор: Ashish P

Jul 01, 2020

Great Understanding of how to build data science team

автор: Livia R d C d

Mar 06, 2019

Straight to the point! Very objective information.

автор: Claudia K J

Feb 05, 2019

EXCELENT CURSE, SO WELL EXPLAINED AND WELL PLANNED

автор: BENSAFOUAN A

May 11, 2020

i really love this course it was very informative

автор: Abrar J

May 05, 2020

My First course on management and was a great one

автор: Yash J

Apr 29, 2020

Must do for understanding the Data Science Set Up

автор: diego m

Jan 04, 2020

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

автор: ABDALRAHIM A

Jan 06, 2018

Very Important with Managing Data Analysis course

автор: Promod R

Feb 28, 2019

Fabulous and easy to understand and internalize!

автор: Maximilian L

May 03, 2020

Great course with very practical key messages!

автор: Muhd A

Oct 28, 2018

Thank you for providing such a great platform.

автор: Alberto D E

May 14, 2018

The basic for building and managing a DS team.

автор: Gary L

Jan 09, 2016

Great overview of building a data science team

автор: Ubirajara A T S

Nov 24, 2015

Very good and interesting course, I recommend!

автор: Paul F

Jan 05, 2018

Excellent overview of the data science team

автор: Ayna M

Dec 15, 2017

So much practical, easy-to-digest material!

автор: mark g

Jan 16, 2017

For those non technical coming to the subje

автор: James J

Oct 23, 2016

Really great course, quick yet informative!

автор: Chloe L

Oct 18, 2017

Great course, great teacher, super useful!

автор: Matthew B

Apr 21, 2016

Great advice, helpful reference material.

автор: JOSÉ B A F

Feb 24, 2018

The course achieved all my expectations.

автор: Franziska M

Apr 30, 2017

This course was very helpful! Thank you.