Advanced Statistical Computing

Catalog description

This project-based course introduces students to advanced concepts of statistical computing. We will work in the environments of R and Python—the most common and powerful statistical computing languages that are used in professional practice. Topics include: object-oriented features, function writing, using environments, non-local assignments (closures), and connections; converting text to code, speeding up processing, advanced features in regular expressions, graphical methods, literate programming, computing on large datasets (without reading all data into memory), cleaning and reshaping of messy data, interactive web applications (with Shiny), advanced reading from files and writing to files, simulations, select statistical applications.