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
50,716 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
- Interviewing Skills
- Full Cycle Recruitment
- Cross-Functional Collaboration
- Data Science
- Organizational Effectiveness
- Staff Management
- Team Leadership
- Employee Onboarding
- People Management
- Recruitment
- Team Performance Management
- Team Motivation
- Talent Recruitment
- Recruitment Strategies
- Empowerment
- Team Management
- Organizational Leadership
- New Hire Orientations
- Team Building
- Technical Management
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
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.
FC
Reviewed on Mar 13, 2016
This class had hard quiz.Sometimes it seemed very basic, but some are hard unless you read and learn really well. Great class/knowledge. Practical real-life examples help.
JS
Reviewed on Aug 15, 2017
This course had a lot of practical, helpful guidelines for managing technology professionals in general, in addition to specific pointers for managing a data science team.
