Data Science Specialization
Launch Your Career in Data Science. A ten-course introduction to data science, developed and taught by leading professors.
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What you will learn
- Use R to clean, analyze, and visualize data.
- Use GitHub to manage data science projects.
- Navigate the entire data science pipeline from data acquisition to publication.
- Perform regression analysis, least squares and inference using regression models.
Skills you will gain
About this Specialization
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Ask the right questions, manipulate data sets, and create visualizations to communicate results.
This Specialization covers the concepts and tools you’ll need throughout the entire data science pipeline, from asking the right kinds of questions to making inferences and publishing results. In the final Capstone Project, you’ll apply the skills learned by building a data product using real-world data. At completion, students will have a portfolio demonstrating their mastery of the material.
Learner Career Outcomes
43%
Started a new career after completing this specialization.
19%
Got a pay increase or promotion.
Shareable Certificate
Earn a Certificate upon completion
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. Familiarity with regression is recommended
Approx. 11 months to complete
Suggested 7 hours/week
English
Subtitles: English,
Korean, Arabic, French,
Chinese (Simplified),
Portuguese (Brazilian),
Vietnamese, Spanish,
Japanese, Russian
I directly applied the concepts and skills I learned from my courses to an exciting new project at work.
— Jennifer J. 
My courses taught me to pick up new ideas quickly and apply them to real-world problems. Today, my certificates make me stand out from the crowd.
— Praveen K.S. 
With Coursera, I gained the confidence I needed to start a new journey in life. Now I’m in the process of transitioning to what I’ve always dreamed of doing.
— Khadija A. 
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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.
There are 10 Courses in this Specialization
Course
1
Course
2
Course
3
Course
4
Instructors
- 988,778 Learners
- 20 Courses
- 993,576 Learners
- 21 Courses
- 976,660 Learners
- 22 Courses
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.
Industry Partners
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- Shareable Specialization and Course Certificates
- Self-Paced Learning Option
- Course Videos & Readings
- Practice Quizzes
- Graded Assignments with Peer Feedback
- Graded Quizzes with Feedback
- Graded Programming Assignments
293,418 already enrolled
Shareable on
You can share your Course Certificates in the Certifications section of your LinkedIn profile, on printed resumes, CVs, or other documents.
Frequently Asked Questions
If you subscribed, you get a 7-day free trial during which you can cancel at no penalty. After that, we don’t give refunds, but you can cancel your subscription at any time. See our full refund policy.
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.
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.
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. If you only want to read and view the course content, you can audit the course for free. If you cannot afford the fee, you can apply for financial aid.
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.
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.