Introduction to Statistical Computing

2 credits · Graduate School

This course is designed for students who seek to develop skills in statistical computing, focusing on fundamental concepts and practices in statistical computing for data analysis and research. Students will develop computational thinking and programming skills using R and modern computing environments. Core topics include data structures, programming logic, simulation studies, and AI-assisted approaches to statistical computing. Additional topics include reproducible research workflows using R Markdown, version control with GitHub, parallel computing, and an introduction to Python. [2]