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Certificate Online

Genomic Data Science

Coursera

10 months
Duration
Free
Free
Unknown
Tuition fee
Anytime
Unknown
Apply date
Anytime
Unknown
Start date

About

Be a next generation sequencing data scientist. Master the tools and techniques at the forefront of the sequencing data revolution with this Genomic Data Science offered by Coursera in partnership with Johns Hopkins University.

Visit the official programme website for more information

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

Programme 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

Key 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

Academic 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.

Tuition Fee

To alway see correct tuition fees
  • International

    Free
    Tuition Fee
    Based on the tuition of 0 USD for the full programme during 10 months.
  • National

    Free
    Tuition Fee
    Based 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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Genomic Data Science
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