Building a Data Science Team

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

( 144 Reviews )

Created by: Jeff Leek

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Overall Score : 86 / 100

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Course Description

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 engineer2. How the data science team relates to other teams in an organization3. What are the expected qualifications of different data science team members4. Relevant questions for interviewing data scientists5. How to manage the onboarding process for the team6. How to guide data science teams to success7. How to encourage and empower data science teamsCommitment: 1 week of study, 4-6 hoursCourse cover image by JaredZammit. Creative Commons BY-SA. https://flic.kr/p/5vuWZz

Time: 4h

Instructor Details

Jeff Leek

4.3 Rating
144 Reviews

Jeff Leek is an Assistant Professor of statistics at the Johns Hopkins Bloomberg School of Public Health and co-editor of the Simply Statistics Blog. He received his Ph.D. in statistics from the University of Washington and is recognized for his contributions to genomic data analysis and statistical methods for personalized medicine. His data analyses have helped us understand the molecular mechanisms behind brain development, stem cell self-renewal, and the immune response to major blunt force trauma. His work has appeared in the top scientific and medical journals Nature, Proceedings of the National Academy of Sciences, Genome logy, and PLoS Medicine. He created Data Analysis as a component of the year-long statistical methods core sequence for statistics students at Johns Hopkins. The course has won a teaching excellence award, voted on by the students at Johns Hopkins, every year Dr. Leek has taught the course.

Reviews

4.3

144 total reviews

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By Elton K on 14-Dec-18

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

By Tan L on 28-Nov-18

Learn a lot! Thanks so much!

By Rachid R on 16-Dec-18

Good

By Piet-Hein G on 9-Jan-19

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

By Alzum S M on 11-Jan-19

I great course completed.

By Mallon L on 20-Feb-19

Good course. Helps you visualize what you need to build a data science team.

By Promod R on 28-Feb-19

Fabulous and easy to understand and internalize!

By Diem-Thy ( T on 23-Mar-19

Informative and to the point

By Gustavo V on 31-Mar-19

Usefull information to start building a data science team.

By Balakrishnan.R on 31-Mar-19

Well thought and constructed instructional materials. Easy to understand and more practical. I actually struggled with the quizzes unlike the First Course in this executive program.

By Matheus M J on 7-Feb-19

Very insightful!

By Diego B on 26-Jan-19

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

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