DSE 501 - Statistical Foundations for Data Science and Engineering

An introduction and overview of statistical and mathematical methods that are fundamental in understanding data science. Topics include: visualizing data, probability theory, random variables, statistical models, expectation and variance, descriptive statistics, frequentist statistics, confidence intervals, Bayesian probability, decision trees and networks, time-series/sequential data science, linear algebra, and basic calculus concepts.

Prerequisites & Notes
Some student familiarity with algebra/calculus and Excel is assumed.

Graduate standing or permission

Credits: 3