Gain a deep understanding of the legal ramifications of clients’ technological decisions and policies.

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.

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

Learn probability, an essential language and set of tools for understanding data, randomness, and uncertainty.

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.

Explore the archaeology, history, art, and hieroglyphs surrounding the famous Egyptian Pyramids at Giza. Learn about Old Kingdom...

Apply tools of single-variable calculus to create and analyze mathematical models used by real practitioners in social, life, and...

Join Harvard University instructor Pavlos Protopapas in this online course to learn how to use Python to harness and analyze data.

Learn introductory programming and data analysis in MATLAB, with applications to biology and medicine.

Learn the fascinating history of Igor Stravinsky’s The Rite of Spring, one of the most challenging and rewarding ballets ever...

Learn about Hector Berlioz’s Symphonie Fantastique, an iconic Romantic symphony that ushered in an era of narrative “program...