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.

Building a Data Science Team

Building a Data Science Team
This course is part of Executive Data Science Specialization



Instructors: Jeff Leek, PhD
Access provided by University College London
50,700 already enrolled
3,343 reviews
What you'll learn
Describe the various roles that make up a Data Science team
Manage a Data Science team onboarding
Know relevant questions for interviewing data scientists
Understand how to encourage and empower Data Science teams
Skills you'll gain
- Recruitment Strategies
- Team Building
- Employee Onboarding
- Team Leadership
- People Management
- Organizational Effectiveness
- Team Motivation
- Interviewing Skills
- Full Cycle Recruitment
- Data Science
- Organizational Leadership
- Talent Recruitment
- Team Management
- Technical Management
- New Hire Orientations
- Empowerment
- Recruitment
- Staff Management
- Cross-Functional Collaboration
- Team Performance Management
Details to know

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6 assignments
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Build your subject-matter expertise
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
- Develop job-relevant skills with hands-on projects
- Earn a shareable career certificate

There is 1 module in this course
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Showing 3 of 3343
Reviewed on Apr 3, 2018
1 start less because of the ever-confusing quiz questions. Hit and trials make you go mad, and insance when you figure out the correct answer that you couldn't have imagined.
Reviewed on Nov 7, 2016
The mode of teaching was interesting and I hope you can do better in the area of providing answers to questions we missed after the course. Thanks for the opportunity given to me.
Reviewed on Mar 11, 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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