About this Specialization
100% online courses

100% online courses

Start instantly and learn at your own schedule.
Flexible Schedule

Flexible Schedule

Set and maintain flexible deadlines.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 7 months to complete

Suggested 6 hours/week
Available languages

English

Subtitles: English...

Skills you will gain

BiopythonBioconductorPython ProgrammingR Programming
100% online courses

100% online courses

Start instantly and learn at your own schedule.
Flexible Schedule

Flexible Schedule

Set and maintain flexible deadlines.
Intermediate Level

Intermediate Level

Hours to complete

Approx. 7 months to complete

Suggested 6 hours/week
Available languages

English

Subtitles: English...

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

Introduction to Genomic Technologies

4.5
1,298 ratings
231 reviews
This course introduces you to the basic biology of modern genomics and the experimental tools that we use to measure it. We'll introduce the Central Dogma of Molecular Biology and cover how next-generation sequencing can be used to measure DNA, RNA, and epigenetic patterns. You'll also get an introduction to the key concepts in computing and data science that you'll need to understand how data from next-generation sequencing experiments are generated and analyzed. This is the first course in the Genomic Data Science Specialization....
Course2

Genomic Data Science with Galaxy

3.6
393 ratings
117 reviews
Learn to use the tools that are available from the Galaxy Project. This is the second course in the Genomic Big Data Science Specialization....
Course3

Python for Genomic Data Science

4.3
558 ratings
92 reviews
This class provides an introduction to the Python programming language and the iPython notebook. This is the third course in the Genomic Big Data Science Specialization from Johns Hopkins University....
Course4

Algorithms for DNA Sequencing

4.8
344 ratings
85 reviews
We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing data. We will learn a little about DNA, genomics, and how DNA sequencing is used. We will use Python to implement key algorithms and data structures and to analyze real genomes and DNA sequencing datasets....

Instructors

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James Taylor, PhD

Associate Professor of Biology and Computer Science
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Jacob Pritt

Department of Computer Science
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Liliana Florea, PhD

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

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

Assistant Professor
Center for Computational Biology
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Steven Salzberg, PhD

Professor
Biomedical Engineering, Computer Science, and Biostatistics
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Jeff Leek, PhD

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

Assistant Professor
Computer Science

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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 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.

  • 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.