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 Ceibal
50,643 already enrolled
3,342 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
- Team Building
- Employee Onboarding
- People Management
- Organizational Leadership
- Staff Management
- Team Performance Management
- Technical Management
- Talent Recruitment
- Team Motivation
- Organizational Effectiveness
- New Hire Orientations
- Interviewing Skills
- Data Science
- Recruitment
- Full Cycle Recruitment
- Recruitment Strategies
- Empowerment
- Team Management
- Team Leadership
- Cross-Functional Collaboration
Details to know

Add to your LinkedIn profile
6 assignments
See how employees at top companies are mastering in-demand skills

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
Earn a career certificate
Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review.
Instructors

Offered by
Why people choose Coursera for their career

Felipe M.

Jennifer J.

Larry W.

Chaitanya A.
Learner reviews
- 5 stars
62.63%
- 4 stars
28.05%
- 3 stars
6.79%
- 2 stars
1.61%
- 1 star
0.89%
Showing 3 of 3342
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.
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.
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.
Explore more from Data Science

Johns Hopkins University

Johns Hopkins University

Coursera


