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Opiniones y comentarios de aprendices correspondientes a Building a Data Science Team por parte de Universidad Johns Hopkins

4.5
estrellas
2,624 calificaciones
350 revisiones

Acerca del Curso

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...
Aspectos destacados
Applicable teachings
(79 revisiones)
Brief, helpful lectures
(11 revisiones)

Principales revisiones

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.

JS

Mar 12, 2017

Extremely practical and essentially human, this was really interesting to better understand the different roles and how to help data science teams to work together, highly recommended

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101 - 125 de 343 revisiones para Building a Data Science Team

por Gustavo V

Mar 31, 2019

Usefull information to start building a data science team.

por SOM D M

Feb 21, 2017

A quick and Great introduction on building effective Teams

por Luis E C

Jan 08, 2016

Excellent resource for a manager in data science projects.

por Paulo B M d S

Jul 05, 2019

Excelent combination between management and data science.

por Nisha S

Aug 26, 2017

This course is a good-start for new Data science managers

por Sateesh K R

Mar 10, 2016

Excellent Course for everyone keen to learn data science.

por Piyapong B

Dec 05, 2016

Very informative course on building a data science team!

por Ashish L

Apr 20, 2019

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

por Livia R d C d

Mar 06, 2019

Straight to the point! Very objective information.

por Claudia K J

Feb 05, 2019

EXCELENT CURSE, SO WELL EXPLAINED AND WELL PLANNED

por diego m

Jan 04, 2020

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

por ABDALRAHIM A

Jan 06, 2018

Very Important with Managing Data Analysis course

por Promod R

Feb 28, 2019

Fabulous and easy to understand and internalize!

por Muhd A

Oct 28, 2018

Thank you for providing such a great platform.

por Alberto D E

May 14, 2018

The basic for building and managing a DS team.

por Gary L

Jan 09, 2016

Great overview of building a data science team

por Ubirajara A T S

Nov 24, 2015

Very good and interesting course, I recommend!

por Paul F

Jan 05, 2018

Excellent overview of the data science team

por Ayna M

Dec 15, 2017

So much practical, easy-to-digest material!

por mark g

Jan 16, 2017

For those non technical coming to the subje

por James J

Oct 23, 2016

Really great course, quick yet informative!

por Chloe L

Oct 18, 2017

Great course, great teacher, super useful!

por Matthew B

Apr 21, 2016

Great advice, helpful reference material.

por JOSÉ B A F

Feb 24, 2018

The course achieved all my expectations.

por Franziska M

Apr 30, 2017

This course was very helpful! Thank you.