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

You should have beginner level experience in Python. Familarity with regression is recommended.

Approx. 8 months to complete

Suggested 6 hours/week

English

Subtitles: English, Korean, Arabic, French, Chinese (Simplified), Portuguese (Brazilian), Vietnamese, Spanish, Japanese, Russian...

What you will learn

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    Use R to clean, analyze, and visualize data.

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    Navigate the entire data science pipeline from data acquisition to publication.

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    Use GitHub to manage data science projects.

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    Perform regression analysis, least squares and inference using regression models.

Skills you will gain

GithubMachine LearningR ProgrammingRegression Analysis

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Beginner Level

You should have beginner level experience in Python. Familarity with regression is recommended.

Approx. 8 months to complete

Suggested 6 hours/week

English

Subtitles: English, Korean, Arabic, French, Chinese (Simplified), Portuguese (Brazilian), Vietnamese, Spanish, Japanese, Russian...

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 10 Courses in this Specialization

Course1

The Data Scientist’s Toolbox

4.5
20,995 ratings
4,194 reviews
Course2

R Programming

4.6
15,407 ratings
3,163 reviews
Course3

Getting and Cleaning Data

4.6
6,524 ratings
1,010 reviews
Course4

Exploratory Data Analysis

4.7
4,947 ratings
704 reviews

Instructors

Avatar

Jeff Leek, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
Avatar

Roger D. Peng, PhD

Associate Professor, Biostatistics
Bloomberg School of Public Health
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Brian Caffo, PhD

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.

  • Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in 3-6 months.

  • Each course in the Specialization is offered monthly.

  • Some programming experience (in any language) is recommended. We also suggest a working knowledge of mathematics up to algebra (neither calculus or linear algebra are required).

  • Begin by taking The Data Scientist's Toolbox and Introduction to R Programming, in order. The other courses may be taken in any order, and in parallel if desired.

  • 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.

  • You’ll have a foundational understanding of the field and be prepared to continue studying data science.

  • Yes, you can access the course for free via www.coursera.org/jhu. This will allow you to explore the course, watch lectures, and participate in discussions for free. To be eligible to earn a certificate, you must either pay for enrollment or qualify for financial aid.

More questions? Visit the Learner Help Center.