Professional Certificate in Data Analysis for Genomics
Course Features
Duration
3 months
Delivery Method
Online
Available on
Limited Access
Accessibility
Desktop, Laptop
Language
English
Subtitles
English
Level
Beginner
Effort
4 hours per week
Teaching Type
Self Paced
Course Description
Course Overview
International Faculty
Case Based Learning
Post Course Interactions
Case Studies,Instructor-Moderated Discussions
Skills You Will Gain
What You Will Learn
Advanced techniques to analyze genomic data
How to analyze data from several experimental protocols, using open-source software, including R and Bioconductor
How to structure, annotate, normalize, and interpret genome-scale assays
How to bridge diverse genomic assay and annotation structures to data analysis and research presentations via innovative approaches to computing
Course Instructors
Michael Love
Assistant Professor, Departments of Biostatistics and Genetics
Rafael Irizarry
Professor of Biostatistics