General Courses

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

Sentar las bases de conocimiento en R y aprender a discutir, analizar y visualizar datos.

Learn skills and tools that support data science and reproducible research, to ensure you can trust your own research results, reproduce them yourself, and communicate them to others.

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

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

This Harvard Medical School one-year, application-based certificate program helps leaders effect positive change by learning to turn patient data into actionable, transformable knowledge.

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

Learn inference and modeling: two of the most widely used statistical tools in data analysis.

Build practical deep learning skills for Python-savvy professionals.

Build a foundation in R and learn how to wrangle, analyze, and visualize data.

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

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