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Statistics for Genomic Data Science

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Statistics for Genomic Data Science
Johns Hopkins University Online Course Highlights
  • weeks long
  • 18 hours to complete
  • Learn for FREE, Ugpradable
  • Self-Paced
  • Taught by: Jeff Leek, PhD, Associate Professor, Biostatistics
  • View Course Syllabus

Online Course Details:

In 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.

SKILLS YOU WILL GAIN

  • Statistics
  • Data Analysis
  • R Programming
  • Biostatistics

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
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