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
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Building a Data Science Team
This course is part of Executive Data Science Specialization
Instructors: Jeff Leek, PhD
50,727 already enrolled
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3,343 reviews
5 hours to complete
Flexible schedule
Learn at your own pace
90%
Most learners liked this course
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
- Team Leadership
- Team Building
- Staff Management
- Organizational Effectiveness
- Team Motivation
- Team Management
- Data Science
- Talent Recruitment
- Organizational Leadership
- Team Performance Management
- Recruitment
- Employee Onboarding
- Full Cycle Recruitment
- Recruitment Strategies
- Technical Management
- Empowerment
- Cross-Functional Collaboration
- People Management
- New Hire Orientations
- Interviewing Skills
Details to know
Shareable certificate
Add to your LinkedIn profile
Assessments
6 assignments
Taught in English
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This course is part of the Executive Data Science Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
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There is 1 module in this course
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Instructors
Instructor ratings
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Johns Hopkins University
Johns Hopkins University
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Showing 3 of 3343
TB
Reviewed on Mar 23, 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.
SV
Reviewed on Feb 12, 2018
Most of what has been said can be applied for building Software Engineering Team. Nothing special if you have experience in managing Software Engineers.
PV
Reviewed on Jan 22, 2017
Good overview of forming Data science team. The challenges are typical of any SDLC project. However I was looking to glean some specific challenges between DSc team and product or marketing teams.
