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.
Offered By
Executive Data Science SpecializationJohns Hopkins UniversityAbout 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
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 2 of 5 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 6 hours to complete
English
Subtitles: English, Arabic
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
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 2 of 5 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 6 hours to complete
English
Subtitles: English, Arabic
Offered by
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.
Syllabus - What you will learn from this course
6 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
6 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 team30m
Data team qualifications30m
Assembling the team30m
Management strategies30m
Working with other teams30m
Common difficulties30m
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 PAJul 6, 2020
Well Taught Course , loved the lecturer present the information,for you who want to improved your management skill in data science this course can provide the introduction ,REST ? read a book
About the Executive Data Science Specialization
Assemble the right team, ask the right questions, and avoid the mistakes that derail data science projects.
Frequently Asked Questions
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
- The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
- The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
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.
Is financial aid available?
Yes, Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project. Learn more.
Will I earn university credit for completing the Course?
This Course doesn't carry university credit, but some universities may choose to accept Course Certificates for credit. Check with your institution to learn more. Online Degrees and Mastertrack™ Certificates on Coursera provide the opportunity to earn university credit.
More questions? Visit the Learner Help Center.
