BioconductorBiopythonPython ProgrammingR ProgrammingGalaxyBioinformaticsStatisticsData ScienceComputational BiologyData AnalysisGenomeGenomics
Genomic Data Science Specialization
Be a next generation sequencing data scientist.. Master the tools and techniques at the forefront of the sequencing data revolution.
25,301 already enrolled
Offered By
Genomic Data Science SpecializationJohns Hopkins UniversityWhat you will learn
Next generation sequencing experiments
Genomic technologies
DNA, RNA and epigenetic patterns
Genome analysis
Skills you will gain
About this Specialization
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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.
This Specialization covers the concepts and tools to understand, analyze, and interpret data from next generation sequencing experiments. It teaches the most common tools used in genomic data science including how to use the command line, along with a variety of software implementation tools like Python, R, Bioconductor, and Galaxy.
This Specialization is designed to serve as both a standalone introduction to genomic data science or as a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics, for scientists in these fields seeking to gain familiarity in data science and statistical tools to better interact with the data in their everyday work.
To audit Genomic Data Science courses for free, visit https://www.coursera.org/jhu, click the course, click Enroll, and select Audit. Please note that you will not receive a Certificate of Completion if you choose to Audit.
Learner Career Outcomes
50%
Started a new career after completing this specialization.
20%
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.
Intermediate Level
Some related experience required.
Approx. 10 months to complete
Suggested 2 hours/week
English
Subtitles: English, Arabic
Learner Career Outcomes
50%
Started a new career after completing this specialization.
20%
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.
Intermediate Level
Some related experience required.
Approx. 10 months to complete
Suggested 2 hours/week
English
Subtitles: English, Arabic
There are 8 Courses in this Specialization
Introduction to Genomic Technologies
2,577 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
724 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
1,015 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
574 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.
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.
Frequently Asked Questions
What is the refund policy?
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.
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?
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.
Can I take the course for free?
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.
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.
