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There is 1 module in this course
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
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
What's included
17 videos8 readings6 assignments
Show info about module content
17 videos•Total 83 minutes
About your instructor•2 minutes
The Data Team•3 minutes
When Do You Need Data Science?•3 minutes
Data Engineer: Qualifications & Skills•6 minutes
Data Scientist: Qualifications & Skills•8 minutes
Data Science Manager: Qualifications & Skills•5 minutes
Where To Find The Data Team•3 minutes
Interviewing For Data Science•5 minutes
Onboarding the Data Science Team•6 minutes
Managing the Data Science Team•7 minutes
Evaluating Success of the Team•6 minutes
Embedded Teams vs. Dedicated Groups•5 minutes
How Does Data Science Interact with Other Groups•3 minutes
Empowering Others to Use Data•5 minutes
Common Interaction Difficulties•7 minutes
Common Internal Difficulties•7 minutes
Wrap-Up•1 minute
8 readings•Total 80 minutes
Lecture materials and related reading•10 minutes
Lecture Materials and Related Reading•10 minutes
Lecture Materials and Related Reading•10 minutes
Lecture Materials and Related Reading•10 minutes
Lecture Materials and Related Reading•10 minutes
Lecture Materials and Related Reading•10 minutes
Lecture Materials and Related Reading•10 minutes
Post-Course Survey•10 minutes
6 assignments•Total 160 minutes
Defining the data science team•10 minutes
Data team qualifications•30 minutes
Assembling the team•30 minutes
Management strategies•30 minutes
Working with other teams•30 minutes
Common difficulties•30 minutes
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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.
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Learner reviews
4.5
3,343 reviews
5 stars
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4 stars
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3 stars
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1.61%
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Showing 3 of 3343
P
PV
4·
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.
R
RV
4·
Reviewed on May 21, 2016
Good but should come after the Managing Data Analysis for understanding better what the people you hire are actually going to do. Preventing the "Dilbertification" of the data science manager.
J
JA
4·
Reviewed on Apr 15, 2018
Excellent content - delivery could be improved somewhat but happy overall. Lots of practical advice relevant to the job and team dynamics. Read the supplementary material/links
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What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.