Genomic Data Science Specialization
Become a next generation sequencing data scientist. Master the tools and techniques at the forefront of the sequencing data revolution.
About This Specialization
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, Python, R, Bioconductor, and Galaxy. The sequence is a stand alone introduction to genomic data science or a perfect compliment to a primary degree or postdoc in biology, molecular biology, or genetics. To audit Genomic Data Science courses for free, visit https://www.coursera.org/jhu, click the course, click Enroll, and select Audit.
Follow the suggested order or choose your own.
Designed to help you practice and apply the skills you learn.
Highlight your new skills on your resume or LinkedIn.
- Intermediate Specialization.
- Some related experience required.
Introduction to Genomic TechnologiesUpcoming session: Aug 27
About the CourseThis 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 ep
Genomic Data Science with GalaxyUpcoming session: Aug 27
About the CourseLearn to use the tools that are available from the Galaxy Project. This is the second course in the Genomic Big Data Sci
Python for Genomic Data ScienceUpcoming session: Aug 27
About the CourseThis 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
Algorithms for DNA Sequencing
About the CourseWe 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 structure
Command Line Tools for Genomic Data ScienceUpcoming session: Aug 27
About the CourseIntroduces to the commands that you need to manage and analyze directories, files, and large sets of genomic data. This is the fourth course in the Genomic Big Data Science Specialization from Johns
Bioconductor for Genomic Data ScienceUpcoming session: Aug 27
About the CourseLearn to use tools from the Bioconductor project to perform analysis of genomic data. This is the fifth course in the Genomic Big Data Specialization from Johns
Statistics for Genomic Data Science
About the CourseAn introduction to the statistics behind the most popular genomic data science projects. This is the sixth course in the Genomic Big Data Science Specialization from Johns
Genomic Data Science CapstoneUpcoming session: Oct 8
- 8 weeks of study, 2-4 hours/week
About the Capstone ProjectIn this culminating project, you will deploy the tools and techniques that you've mastered over the course of the specialization. You'll work with a real data set to perform analyses and prepare a repo
Mihaela Pertea, PhD
Steven Salzberg, PhD
Kasper Daniel Hansen, PhD
Assistant Professor, Biostatistics and Genetic Medicine
James Taylor, PhD
Associate Professor of Biology and Computer Science
Liliana Florea, PhD
Jeff Leek, PhD
Associate Professor, Biostatistics
Ben Langmead, PhD
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