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Johns Hopkins University

Genomic Data Science

Johns Hopkins University via Coursera Specialization

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 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.

Syllabus

Course 1: Introduction to Genomic Technologies
- Offered by Johns Hopkins University. This course introduces you to the basic biology of modern genomics and the experimental tools that we ... Enroll for free.

Course 2: Genomic Data Science with Galaxy
- Offered by Johns Hopkins University. Learn to use the tools that are available from the Galaxy Project. This is the second course in the ... Enroll for free.

Course 3: Python for Genomic Data Science
- Offered by Johns Hopkins University. This class provides an introduction to the Python programming language and the iPython notebook. This ... Enroll for free.

Course 4: Algorithms for DNA Sequencing
- Offered by Johns Hopkins University. We will learn computational methods -- algorithms and data structures -- for analyzing DNA sequencing ... Enroll for free.

Course 5: Command Line Tools for Genomic Data Science
- Offered by Johns Hopkins University. Introduces to the commands that you need to manage and analyze directories, files, and large sets of ... Enroll for free.

Course 6: Bioconductor for Genomic Data Science
- Offered by Johns Hopkins University. Learn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth ... Enroll for free.

Course 7: Statistics for Genomic Data Science
- Offered by Johns Hopkins University. An introduction to the statistics behind the most popular genomic data science projects. This is the ... Enroll for free.

Course 8: Genomic Data Science Capstone
- Offered by Johns Hopkins University. In this culminating project, you will deploy the tools and techniques that you've mastered over the ... Enroll for free.

Courses

Taught by

Ben Langmead, PhD, Jacob Pritt, James Taylor, PhD, Jeff Leek, PhD, Kasper Daniel Hansen, PhD, Liliana Florea, PhD, Mihaela Pertea, PhD and Steven Salzberg, PhD

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