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.

Intermediate Level

Approx. 6 months to complete

Suggested 8 hours/week

English

Subtitles: English, Arabic

What you will learn

  • Check
    Next generation sequencing experiments
  • Check
    Genomic technologies
  • Check
    DNA, RNA and epigenetic patterns
  • Check
    Genome analysis

Skills you will gain

BioconductorBiopythonPython ProgrammingR ProgrammingGalaxy

100% online courses

Start instantly and learn at your own schedule.

Flexible Schedule

Set and maintain flexible deadlines.

Intermediate Level

Approx. 6 months to complete

Suggested 8 hours/week

English

Subtitles: English, Arabic

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 8 Courses in this Specialization

Course1

Course 1

Introduction to Genomic Technologies

4.5
stars
1,959 ratings
303 reviews
Course2

Course 2

Genomic Data Science with Galaxy

3.7
stars
611 ratings
169 reviews
Course3

Course 3

Python for Genomic Data Science

4.3
stars
806 ratings
124 reviews
Course4

Course 4

Algorithms for DNA Sequencing

4.8
stars
467 ratings
111 reviews

Instructors

Image of instructor, James Taylor, PhD

James Taylor, PhD 

Associate Professor of Biology and Computer Science
Image of instructor, Jacob Pritt

Jacob Pritt 

Department of Computer Science
Image of instructor, Liliana Florea, PhD

Liliana Florea, PhD 

Assistant Professor
McKusick-Nathans Institute of Genetic Medicine
Image of instructor, Kasper Daniel Hansen, PhD

Kasper Daniel Hansen, PhD 

Assistant Professor, Biostatistics and Genetic Medicine
Bloomberg School of Public Health
Image of instructor, Mihaela Pertea, PhD

Mihaela Pertea, PhD 

Assistant Professor
Center for Computational Biology
Image of instructor, Steven Salzberg, PhD

Steven Salzberg, PhD 

Professor
Biomedical Engineering, Computer Science, and Biostatistics
Image of instructor, Jeff Leek, PhD

Jeff Leek, PhD 

Associate Professor, Biostatistics
Bloomberg School of Public Health
Image of instructor, Ben Langmead, PhD

Ben Langmead, PhD 

Assistant Professor
Computer Science

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 6-9 months.

  • Each course in the specialization is offered monthly.

  • Some background in statistics, computer science, and biology is helpful but not required.

  • The sequence shown above is strongly recommended.

  • No, you will not earn credit at Johns Hopkins University by completing this specialization.

  • Upon completion, you will be able to use a variety of tools to conduct analysis of data generated by next generation sequencing experiments.

  • Pre-enrollment will be available on January 11, 2016.

More questions? Visit the Learner Help Center.