About this Specialization
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100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

No prior data science experience required.

Approx. 1 month to complete

Suggested 11 hours/week

English

Subtitles: English, Chinese (Traditional), Arabic, Russian, Turkish, Hindi, Japanese, Indonesian, Spanish...

What you will learn

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    Become conversant in the field and understand your role as a leader.

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    Recruit, assemble, evaluate, and develop a team with complementary skill sets and roles.

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    Navigate the structure of the data science pipeline by understanding the goals of each stage and keeping your team on target throughout.

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    Overcome the common challenges that frequently derail data science projects.

Skills you will gain

Data ScienceData ManagementData AnalysisCommunicationLeadership

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

No prior data science experience required.

Approx. 1 month to complete

Suggested 11 hours/week

English

Subtitles: English, Chinese (Traditional), Arabic, Russian, Turkish, Hindi, Japanese, Indonesian, Spanish...

How the Specialization Works

Take Courses

A Coursera Specialization is a series of courses that helps you master a skill. To begin, enroll in the Specialization directly, or review its courses and choose the one you'd like to start with. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. It’s okay to complete just one course — you can pause your learning or end your subscription at any time. Visit your learner dashboard to track your course enrollments and your progress.

Hands-on Project

Every Specialization includes a hands-on project. You'll need to successfully finish the project(s) to complete the Specialization and earn your certificate. If the Specialization includes a separate course for the hands-on project, you'll need to finish each of the other courses before you can start it.

Earn a Certificate

When you finish every course and complete the hands-on project, you'll earn a Certificate that you can share with prospective employers and your professional network.

how it works

There are 5 Courses in this Specialization

Course1

A Crash Course in Data Science

4.5
5,172 ratings
980 reviews
Course2

Building a Data Science Team

4.5
2,544 ratings
339 reviews
Course3

Managing Data Analysis

4.5
2,227 ratings
293 reviews
Course4

Data Science in Real Life

4.4
1,603 ratings
187 reviews

Instructors

Avatar

Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
Avatar

Brian Caffo, PhD

Professor, Biostatistics
Bloomberg School of Public Health
Avatar

Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health

Industry Partners

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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

  • Yes! To get started, click the course card that interests you and enroll. You can enroll and complete the course to earn a shareable certificate, or you can audit it to view the course materials for free. When you subscribe to a course that is part of a Specialization, you’re automatically subscribed to the full Specialization. Visit your learner dashboard to track your progress.

  • This course is completely online, so there’s no need to show up to a classroom in person. You can access your lectures, readings and assignments anytime and anywhere via the web or your mobile device.

  • This Specialization doesn't carry university credit, but some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in 2 months.

  • Each course in the Specialization is offered on a regular schedule, with sessions starting about once per month. If you don't complete a course on the first try, you can easily transfer to the next session, and your completed work and grades will carry over.

  • A basic understanding of how data can be used in an industry, academic, or government environment.

  • We recommend that you take the courses in the following order: Crash Course in Data Science, Building a Data Science Team, Managing Data Analysis, Data Science in Real Life

  • Coursera courses and certificates don't carry university credit, though some universities may choose to accept Specialization Certificates for credit. Check with your institution to learn more.

  • Upon completion, you will be qualified to lead a team of data scientists. You will know how to ask the right questions, recruit the right people, and manage the full team as you work through the entire data science pipeline. The skills you learn in this specialization will prepare you to harness the potential of the data scientists in your organization and deliver world-class analyses to your clients and stakeholders.

More questions? Visit the Learner Help Center.