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

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2,670 calificaciones
355 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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26 - 50 de 348 revisiones para Building a Data Science Team

por Самигуллин А

Jan 27, 2019

Очень полезный и интересный курс, дает достаточно теории и идей о том, с чего стоит начать работу по построению команды и на что нужно обращать внимание, будучи DS менеджером

por TanShuLeng

May 17, 2017

good overview and introduction to manager as to what traits to lookout for and organising the team. Very practical approach and implementable without being over the top.

por Muhammed G

Nov 05, 2016

Hi everyone !

It is my honor to appreciate what I learnt from this course. I love it,the university,and the instructors. It is a step forward for my carrier.

por Teresa B

Mar 24, 2016

High level but with enough details and context to make sense of the manager/exec/director's role in data science or the enterprise employing data science.

por Luis E B C

Dec 04, 2016

I will be using in my project,

It is really important to articulate the various areas of my organization with the data censors, can work transversally

por Andras F

Feb 26, 2018

This is a very well structured and really useful course, with several real-life examples and some interesting blog posts and articles on the subject.

por Jason J

Feb 14, 2018

Great overview of team roles / responsibilities, how the team can "fit" into the organization, and how to handle engagement with non data community

por Sophie L B

Mar 04, 2018

very nice. The boundaries of skills between data engineers and data scientists are sometimes a little artificial but I enjoyed the material a lot.

por William G

Jan 09, 2018

This course gave me a good understanding and helpful tips on how to deal with a professional team to keep them motivated and increase productivity

por Carlos J

Sep 20, 2017

Esta serie de cursos, es recomendable para iniciar en la carrera de Ciencia de Datos, conceptos claros, expuestos por catedráticos de primer nivel

por jackie c

Aug 26, 2017

a good course to get the Data Science team up and running. gives an overview of each roles and their responsibilities so as possible shortcoming.

por Bernard D V

Mar 16, 2020

It's clear and well explained. This point of view from a practitionner is really useful, even if the course has been created a few years ago

por Carlos E O S

Jan 03, 2020

Great set of tools requiered to create an Analytics Strategy, something that is very requiered, event at the same level as technical skills.

por Siddharth T

Apr 03, 2016

A very helpful course in understanding how the team composition should be and the typical Job descriptions of different members of the team.

por ranjan k

Sep 26, 2017

Very good course for any manager how to handle and manage team. It not only apply data science team but in general team management as well.

por James L

Jun 16, 2019

Very applicable course structure. Thank you for placing the strengths and challenges of managing a DS team into a well delivered course.

por Zeev G

Mar 13, 2017

very good course for beginners, in my case I built the same team and processes by heart and it matched the suggestions in this course

por Y R S

Apr 22, 2018

It was a good refresher for me on management strategies and learn specifically Data Science team related people management topics.

por Piet-Hein G

Jan 09, 2019

Really insightful, touching on a wide variety of subjects that are relevant to building a data science team. Thank you very much.

por Alvaro S R

Jul 20, 2018

Very useful course given a very good overview of the tasks, profiles and skills you need to build and manage a data science team.

por Kshitij G

Feb 28, 2016

Precise and relevant, and gets one into the groove ethically and practically , on the nuances of on-line learning and ettiquette.

por Evangelos T

Aug 27, 2017

Great insight into how to build a data science team beyond common management issues that typically apply to team management.

por Daniel M M

Aug 24, 2017

Very useful. Practical orientation and general team management practices well translated to data science projects and teams.

por Sylvia M

Jun 05, 2017

Excellent course with the right amount of detail. Examples were directly applicable and additional resources are a bonus.

por Michael B

Sep 04, 2017

Clear and concise guidelines on what to consider when building and managing a high performing data science organization.