Show what you’ve learned from the Professional Certificate Program in Data Science.

Perform RNA-Seq, ChIP-Seq, and DNA methylation data analyses, using open source software, including R and Bioconductor.

Learn advanced approaches to genomic visualization, reproducible analysis, data architecture, and exploration of cloud-scale...

The structure, annotation, normalization, and interpretation of genome scale assays.

A focus on several techniques that are widely used in the analysis of high-dimensional data.

A focus on the techniques commonly used to perform statistical inference on high throughput data.

Learn to use R programming to apply linear models to analyze data in life sciences.

An introduction to basic statistical concepts and R programming skills necessary for analyzing data in the life sciences.

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

Learn how to effectively use data to tackle your business decisions. Designed for managers, this course provides a hands-on...

Learn how to effectively use data to tackle your business decisions. Designed for managers, this course provides a hands-on...