Building a Data Science Team

4.5
1,880 ratings
269 reviews

Course 2 of 5 in the Executive Data Science Specialization

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 engineer 2. How the data science team relates to other teams in an organization 3. What are the expected qualifications of different data science team members 4. Relevant questions for interviewing data scientists 5. How to manage the onboarding process for the team 6. How to guide data science teams to success 7. How to encourage and empower data science teams Commitment: 1 week of study, 4-6 hours Course cover image by JaredZammit. Creative Commons BY-SA. https://flic.kr/p/5vuWZz
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Approx. 4 hours to complete

Suggested: 1 week of study, 4-6 hours
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English

Subtitles: English

What you will learn

  • Check
    Describe the various roles that make up a Data Science team
  • Check
    Know relevant questions for interviewing data scientists
  • Check
    Manage a Data Science team onboarding
  • Check
    Understand how to encourage and empower Data Science teams

Skills you will gain

Data ScienceManagementTeam BuildingData Management
Globe

100% online courses

Start instantly and learn at your own schedule.
Clock

Approx. 4 hours to complete

Suggested: 1 week of study, 4-6 hours
Comment Dots

English

Subtitles: English

Syllabus - What you will learn from this course

1

Section
Clock
4 hours to complete

Building a Data Science Team

Welcome to Building a Data Science Team! This course is one module, intended to be taken in one week. the course works best if you follow along with the material in the order it is presented. Each lecture consists of videos and reading materials and every lecture has a 5 question quiz. You need to get 4 out of 5 or better on the quiz to pass. Overall the quizzes are worth 17% of your grade each, with the exception of the last quiz, which is worth 15%. I'm excited to have you in the class and look forward to your contributions to the learning community. Click Discussions to see forums where you can discuss the course material with fellow students taking the class. Be sure to introduce yourself to everyone in the Meet and Greet forum.If you have questions about course content, please post them in the forums to get help from others in the course community. For technical problems with the Coursera platform, visit the Learner Help Center.Good luck as you get started, and I hope you enjoy the course! -Jeff...
Reading
17 videos (Total 83 min), 8 readings, 6 quizzes
Video17 videos
The Data Team2m
When Do You Need Data Science?3m
Data Engineer: Qualifications & Skills5m
Data Scientist: Qualifications & Skills8m
Data Science Manager: Qualifications & Skills4m
Where To Find The Data Team2m
Interviewing For Data Science5m
Onboarding the Data Science Team5m
Managing the Data Science Team7m
Evaluating Success of the Team6m
Embedded Teams vs. Dedicated Groups5m
How Does Data Science Interact with Other Groups3m
Empowering Others to Use Data5m
Common Interaction Difficulties6m
Common Internal Difficulties7m
Wrap-Up1m
Reading8 readings
Lecture materials and related reading10m
Lecture Materials and Related Reading10m
Lecture Materials and Related Reading10m
Lecture Materials and Related Reading10m
Lecture Materials and Related Reading10m
Lecture Materials and Related Reading10m
Lecture Materials and Related Reading10m
Post-Course Survey10m
Quiz6 practice exercises
Defining the data science team10m
Data team qualifications10m
Assembling the team10m
Management strategies10m
Working with other teams10m
Common difficulties10m
4.5
Direction Signs

67%

started a new career after completing these courses
Briefcase

83%

got a tangible career benefit from this course
Money

12%

got a pay increase or promotion

Top Reviews

Highlights
Applicable teachings
(79)
Brief, helpful lectures
(11)
By NNDec 15th 2017

This course was an exceptional experience where it introduces me to building a data science team, its challenges, nuances and also what kind of approach to take while building and sustaining the team.

By JSMar 12th 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

Instructors

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Jeff Leek, PhD

Associate Professor, Biostatistics
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Brian Caffo, PhD

Professor, Biostatistics
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Roger D. Peng, PhD

Associate Professor, Biostatistics

About Johns Hopkins University

The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world....

Frequently Asked Questions

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