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Genomic Data Science Specialization

Earn a Certificate

  • Specialization via Coursera and Johns Hopkins University
  • $392 for 6-8 months
  • 3-7 hours a week of effort
  • 6 courses + capstone project
1 Review
Rating based on 1 student review.

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Title
Genomic Data Science
Rating
★★★☆☆ (1 Review)
Overview
Credential Type
Provider
Cost
$392
Effort
3-7 hours a week
Duration
6-8 months
This specialization will teach you to understand, analyze, and interpret data from next-generation sequencing experiments. You will learn common tools of genomic data science, including Python, R, Bioconductor, and Galaxy. These courses can serve as a stand-alone introduction to genomic data science or can compliment to a primary degree or postdoc in biology, molecular biology, or genetics. The Specialization concludes with a Capstone project that allows you to apply the skills you've learned throughout the courses.
★★★☆☆ (11) 4 weeks 10th Apr, 2017
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. This is the first course in the Genomic Data Science Specialization.
★★☆☆☆ (11) 4 weeks 10th Apr, 2017
Learn to use the tools that are available from the Galaxy Project. This is the second course in the Genomic Big Data Science Specialization.
★★☆☆☆ (12) 4 weeks 10th Apr, 2017
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.
★★☆☆☆ (7) 4 weeks 10th Apr, 2017
Introduces 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 Hopkins University.
★★★★★ (17) 4 weeks 10th Apr, 2017
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.
★★★☆☆ (4) 4 weeks 10th Apr, 2017
Learn 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 Hopkins University.
★★☆☆☆ (3) 4 weeks 10th Apr, 2017
An 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 Hopkins University.

1 Review.

Name
Gi Ibsganich
completed this credential in Jun 2016.

Useful content, but inconsistently designed. Have instructors lost interest?

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