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Featured byCoursera - Johns Hopkins University
Overview
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 Genomic Data Science offered by Coursera in partnership with Johns Hopkins University 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.
What you will learn
- Next generation sequencing experiments
- Genomic technologies
- DNA, RNA and epigenetic patterns
- Genome analysis
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Visit official programme websiteProgramme Structure
Courses include:
- Introduction to Genomic Technologies
- Genomic Data Science with Galaxy
- Python for Genomic Data Science
- Algorithms for DNA Sequencing
- Command Line Tools for Genomic Data Science
- Bioconductor for Genomic Data Science
- Statistics for Genomic Data Science
- Genomic Data Science Capstone
Details on Coursera Plus:
- Learn Anything: Explore any interest or trending topic, take prerequisites, and advance your skills
- Save money: Spend less money on your learning if you plan to take multiple courses this year
- Flexible Learning: Learn at your own pace, move between multiple courses, or switch to a different course
- Unlimited Certificates: Earn a certificate for every learning program that you complete at no additional cost
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Visit official programme websiteKey information
Duration
- Part-time
- 10 months
- 2 hrs/week
Start dates & application deadlines
You can apply for and start this programme anytime.
Language
English
Delivered
Online
- Self-paced
Disciplines
Biology Data Science & Big Data Genetics View 30 other Short Courses in Biology in United StatesExplore more key information
Visit official programme websiteAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
Intermediate Level
- Some related experience required.
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Visit official programme websiteTuition Fee
To alway see correct tuition fees
-
International
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 10 months. -
National
FreeTuition FeeBased on the tuition of 0 USD for the full programme during 10 months.
You can choose from hundreds of free courses, or get a degree or certificate at a breakthrough price. You can now select Coursera Plus, an annual subscription that provides unlimited access. For specializations there is a 7-day Free Trial. If you invite a friend to get started on Coursera you will both get 50% off a course or the first month of a Specialization subscription.
Funding
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.
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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