Prerequisites: STAT 206, STAT 208; graduate standing; or consent of instructor
Description: Introduction to modern software tools for big data analytics and visualization, supervised and unsupervised statistical learning, database management systems, and parallel and distributed computing. Includes hands-on exercises on the aforementioned topics using R, Python, and SQL.
Credit: May be taken Satisfactory (S) or No Credit (NC) with consent of instructor and graduate advisor.