Courses

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

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.

Learn to program in TensorFlow Lite for microcontrollers so that you can write the code, and deploy your model to your very own tiny microcontroller. Before you know it, you’ll be implementing an entire TinyML application.

Learn how to effectively use data to tackle your business decisions. Designed for managers, this course provides a hands-on approach for demystifying the data science ecosystem and making you a more conscientious consumer of information.

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

Explore the risks and rewards of data privacy and collection.

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

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