Biography

Rafael Irizarry is a Professor of Biostatistics at the Harvard T.H. Chan School of Public Health and a Professor of Biostatistics and Computational Biology at the Dana Farber Cancer Institute. For the past 15 years, Dr. Irizarry’s research has focused on the analysis of genomics data. During this time, he has also has taught several classes, all related to applied statistics. Dr. Irizarry is one of the founders of the Bioconductor Project, an open source and open development software project for the analysis of genomic data. His publications related to these topics have been highly cited and his software implementations widely downloaded.

Courses taught by Rafael Irizarry

Online
Learn to process and convert raw data into formats needed for analysis.  
Price
Free*
Duration
8 weeks long
Registration Deadline
Available now
Online
Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.
Price
Free*
Duration
8 weeks long
Registration Deadline
Available now
Online
Show what you’ve learned from the Professional Certificate Program in Data Science.
Price
Free*
Duration
2 weeks long
Registration Deadline
Available now
Online
Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.
Price
Free*
Duration
8 weeks long
Registration Deadline
Available now
Online
Learn probability theory — essential for a data scientist — using a case study on the financial crisis of 2007–2008.
Price
Free*
Registration Deadline
Available now
Online
An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.
Price
Free*
Duration
4 weeks long
Registration Deadline
Available now
Online
Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.
Price
Free*
Duration
5 weeks long
Registration Deadline
Available now
Online
A focus on several techniques that are widely used in the analysis of high-dimensional data.
Price
Free*
Duration
4 weeks long
Registration Deadline
Available now
Online
The structure, annotation, normalization, and interpretation of genome scale assays.
Price
Free*
Duration
4 weeks long
Registration Deadline
Available now