Math for Data Science

Catalog description

In order to fully analyze data, mathematical concepts need to be applied to data. This course focuses on the common statistics, algorithms, and models required for data mining and predictive analytics. Some of these concepts will include: Bayesian statistics, Bayesian models, calculus concepts to understand probability distributions, and basic linear algebra. Students will learn how to problem solve and identify the right methods to apply during their analyses.