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.

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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.

Statistics, Data Analysis, R Programming, Biostatistics

4.1 (183 ratings)

- 5 stars93 ratings
- 4 stars52 ratings
- 3 stars19 ratings
- 2 stars7 ratings
- 1 star12 ratings

May 23, 2016

I have really enjoyed the course and I have learnt different concepts relevant for my current study.\n\nYurany

Mar 25, 2019

Very good course and useful understanding statistical aspects of data.

From the lesson

Module 3

This week we will cover modeling non-continuous outcomes (like binary or count data), hypothesis testing, and multiple hypothesis testing.

#### Jeff Leek, PhD

Associate Professor, Biostatistics

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