Informações sobre o curso
4.5
2,142 classificações
290 avaliações
Programa de cursos integrados
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Horas para completar

Aprox. 4 horas para completar

Sugerido: 1 week of study, 4-6 hours...
Idiomas disponíveis

Inglês

Legendas: Inglês

O que você vai aprender

  • Check

    Describe the various roles that make up a Data Science team

  • Check

    Know relevant questions for interviewing data scientists

  • Check

    Manage a Data Science team onboarding

  • Check

    Understand how to encourage and empower Data Science teams

Habilidades que você terá

Team BuildingData ScienceManagementTeam Management
Programa de cursos integrados
100% online

100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Prazos flexíveis

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.
Horas para completar

Aprox. 4 horas para completar

Sugerido: 1 week of study, 4-6 hours...
Idiomas disponíveis

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
Horas para completar
4 horas para concluir

Building a Data Science Team

Welcome to Building a Data Science Team! This course is one module, intended to be taken in one week. the course works best if you follow along with the material in the order it is presented. Each lecture consists of videos and reading materials and every lecture has a 5 question quiz. You need to get 4 out of 5 or better on the quiz to pass. Overall the quizzes are worth 17% of your grade each, with the exception of the last quiz, which is worth 15%. I'm excited to have you in the class and look forward to your contributions to the learning community. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. Be sure to introduce yourself to everyone in the Meet and Greet forum.If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center.Good luck as you get started, and I hope you enjoy the course! -Jeff...
Reading
17 videos (Total 83 min), 8 leituras, 6 testes
Video17 videos
The Data Team2min
When Do You Need Data Science?3min
Data Engineer: Qualifications & Skills5min
Data Scientist: Qualifications & Skills8min
Data Science Manager: Qualifications & Skills4min
Where To Find The Data Team2min
Interviewing For Data Science5min
Onboarding the Data Science Team5min
Managing the Data Science Team7min
Evaluating Success of the Team6min
Embedded Teams vs. Dedicated Groups5min
How Does Data Science Interact with Other Groups3min
Empowering Others to Use Data5min
Common Interaction Difficulties6min
Common Internal Difficulties7min
Wrap-Up1min
Reading8 leituras
Lecture materials and related reading10min
Lecture Materials and Related Reading10min
Lecture Materials and Related Reading10min
Lecture Materials and Related Reading10min
Lecture Materials and Related Reading10min
Lecture Materials and Related Reading10min
Lecture Materials and Related Reading10min
Post-Course Survey10min
Quiz6 exercícios práticos
Defining the data science team10min
Data team qualifications10min
Assembling the team10min
Management strategies10min
Working with other teams10min
Common difficulties10min
4.5
290 avaliaçõesChevron Right
Direcionamento de carreira

67%

comecei uma nova carreira após concluir estes cursos
Benefício de carreira

83%

consegui um benefício significativo de carreira com este curso
Promoção de carreira

12%

recebi um aumento ou promoção

Melhores avaliações

Destaques
Applicable teachings
(79)
Brief, helpful lectures
(11)
por NNDec 15th 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.

por JSMar 12th 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

Instrutores

Avatar

Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health
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Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

Sobre Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

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Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects. In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects....
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Perguntas Frequentes – FAQ

  • Ao se inscrever para um Certificado, você terá acesso a todos os vídeos, testes e tarefas de programação (se aplicável). Tarefas avaliadas pelos colegas apenas podem ser enviadas e avaliadas após o início da sessão. Caso escolha explorar o curso sem adquiri-lo, talvez você não consiga acessar certas tarefas.

  • Quando você se inscreve no curso, tem acesso a todos os cursos na Especialização e pode obter um certificado quando concluir o trabalho. Seu Certificado eletrônico será adicionado à sua página de Participações e você poderá imprimi-lo ou adicioná-lo ao seu perfil no LinkedIn. Se quiser apenas ler e assistir o conteúdo do curso, você poderá frequentá-lo como ouvinte sem custo.

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