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Statistical Methods for Microbiome Data Analysis
NUT 235

Course Information

Description

This course reviews unique characteristics of microbiome data produced by high-throughput sequence technologies. It provides an overview of classic and newly developed statistical methods for the analysis of microbiome data. This course may be of interest to students wishing to develop strong quantitative skills for comprehensive analysis of microbiome data from public health research.

School Harvard Chan School
Credits 2.5
Cross Reg

Available for Harvard Cross Registration

Department Nutrition
Course Component Lecture
Instruction Mode In Person
Subject Nutrition
Grading Basis HSPH Student Option (Audit, Ordinal, Pass/Fail)
Course Requirements Pre-Req: BST201 or ID201 or PHS2000