DSCI 6001 - Math for Data Scientists

Prerequisites: no formal prerequisites; familiarity with linear algebra, calculus, and some object-oriented programming language is recommended. Provides a review of core skills in linear algebra, analysis, statistics, and differential calculus with a focus on hands-on applications for data science use cases. 3 credits.