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 course is part of the Executive Data Science Specialization
Building a Data Science Team
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About this Course
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Learner Career Outcomes
50%
started a new career after completing these courses
32%
got a tangible career benefit from this course
12%
got a pay increase or promotion
What you will 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 will gain
Team BuildingData ScienceManagementTeam Management
Learner Career Outcomes
50%
started a new career after completing these courses
32%
got a tangible career benefit from this course
12%
got a pay increase or promotion
100% online
Start instantly and learn at your own schedule.
Course 1 of 1 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 4 hours to complete
Suggested: 1 week of study, 4-6 hours
English
Subtitles: English, Arabic
Syllabus - What you will learn from this course
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
4 hours to complete
17 videos (Total 83 min), 8 readings, 6 quizzes
17 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
8 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
6 practice exercises
Defining the data science team10m
Data team qualifications10m
Assembling the team10m
Management strategies10m
Working with other teams10m
Common difficulties10m
Reviews
TOP REVIEWS FROM BUILDING A DATA SCIENCE TEAM
by NNDec 14, 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 PVJan 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.
by RVMay 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.
by CLNov 20, 2017
I found this course useful, especially the hints regarding a code of conduct for Data teams and the interactions with other teams. Also a good refresher on general team-leadership/management.
by JSMar 11, 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
by BBMar 30, 2019
Well thought and constructed instructional materials. Easy to understand and more practical. I actually struggled with the quizzes unlike the First Course in this executive program.
by ONov 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.
by PWOct 13, 2018
Excellent course. All leadership in organizations that are data-driven or taking steps towards being data driven should enroll to this course. The quizzes could be better though.
by JAApr 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
by DDJan 28, 2017
Great course, learned lots about building and leading a data science team; and also some tips on keeping teams motivated and ensuing communication and collaboration works well.
by VWJan 30, 2017
Good overview of the roles and skills needed, but loses a little momentum when it gets into the team management side of things, which is covered in many other business courses.
by HKMar 13, 2016
This class had hard quiz.\n\nSometimes it seemed very basic, but some are hard unless you read and learn really well. Great class/knowledge. Practical real-life examples help.
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.
About the Executive Data Science Specialization
Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.
In four intensive courses, you will learn what you need to know to begin assembling and leading a data science enterprise, even if you have never worked in data science before. You’ll get a crash course in data science so that you’ll be conversant in the field and understand your role as a leader. You’ll also learn how to recruit, assemble, evaluate, and develop a team with complementary skill sets and roles. You’ll learn the structure of the data science pipeline, the goals of each stage, and how to keep your team on target throughout. Finally, you’ll learn some down-to-earth practical skills that will help you overcome the common challenges that frequently derail data science projects.
Frequently Asked Questions
When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
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. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
More questions? Visit the Learner Help Center.
