Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal...

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

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

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

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.

Develop skills in digital research and visualization techniques across subjects and fields within the humanities.

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

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...

Learn simple graphical rules that allow you to use intuitive pictures to improve study design and data analysis for causal...

An application-focused overview of the field from tokenization to state of the art models such as recurrent neural networks and...

Fundamental concepts of probability, statistical inference, and statistical computing. ...