With genomics sparks a revolution in medical discoveries, it becomes imperative to be able to better understand the genome, and be able to leverage the data and information from genomic datasets. Genomic Data Science is the field that applies statistics and data science to the genome.
Genomic Data Science Specialization
Be a next generation sequencing data scientist.. Master the tools and techniques at the forefront of the sequencing data revolution.
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About this Specialization
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What you will learn
Next generation sequencing experiments
Genomic technologies
DNA, RNA and epigenetic patterns
Genome analysis
Skills you will gain
BioconductorBiopythonPython ProgrammingR ProgrammingGalaxy
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.
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.
There are 8 Courses in this Specialization
Introduction to Genomic Technologies
2,036 ratings
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.
Genomic Data Science with Galaxy
628 ratings
Learn to use the tools that are available from the Galaxy Project. This is the second course in the Genomic Big Data Science Specialization.
Python for Genomic Data Science
822 ratings
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.
Algorithms for DNA Sequencing
479 ratings
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.
Industry Partners
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.
Reviews
4.3
TOP REVIEWS FROM GENOMIC DATA SCIENCE
by SMSep 7, 2019
This course is very well suitable for beginners. I am eagerly waiting to start the next course of the specialization for deeper understanding. Although, this course was very informative.
by ALJul 6, 2019
This is the best course so far in this specialization. I enjoyed the way both instructors explained the concepts using simple analogies. It was a really productive month for me!
by GHJun 24, 2017
This course lays out the foundation for the rest of the Specialization. The course feels a little light on content but the concepts it does cover are well described.
by AFJan 14, 2017
A thorough, yet concise introduction to the specialization and to some of the technical difficulties associate with genomic technologies. Thank you!
by MHAug 22, 2019
A very concise but comprehensive overview of what to expect in the Genomic Data Science specialization course.
by ABJan 6, 2018
I thoroughly enjoyed this course and look forward to complete the specialization
by LCFeb 12, 2017
Excellent set of assignments to apply multiple tools used in the specialization!
by FRJan 10, 2018
good way of wrapping up everything we learned in the specialization :)
Frequently Asked Questions
What is the refund policy?
Can I just enroll in a single course?
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.
Is financial aid available?
Can I take the course for free?
Is this course really 100% online? Do I need to attend any classes in person?
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.
How long does it take to complete the Specialization?
Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in 6-9 months.
How often is each course in the Specialization offered?
Each course in the specialization is offered monthly.
What background knowledge is necessary?
Some background in statistics, computer science, and biology is helpful but not required.
Do I need to take the courses in a specific order?
The sequence shown above is strongly recommended.
Will I earn university credit for completing the Specialization?
No, you will not earn credit at Johns Hopkins University by completing this specialization.
What will I be able to do upon completing the Specialization?
Upon completion, you will be able to use a variety of tools to conduct analysis of data generated by next generation sequencing experiments.
When will I be able to enroll?
Pre-enrollment will be available on January 11, 2016.
More questions? Visit the Learner Help Center.
