Advanced Topics in Data Science.

Catalog description

This course offers an advanced, hands-on exploration of the technical and methodological foundations of data science, with a focus on developing deep fluency across tools, languages, and analytical approaches. Students will work in both R and Python, with additional exposure to C++ (via Rcpp) and GPU programming, emphasizing the design and implementation of robust, scalable, and reproducible data workflows.