DSCI 602 Statistical Methods for Data Science (Probability, Random Variables and Inference, Design)
Probability, discrete random variables and their distributions, continuous random variables and their distributions, multivariate probability distributions, sampling distributions and the central limit theorem, estimation, hypothesis testing, considerations in designing experiments, the analysis of variance.
Prerequisite recommended: one semester of college level Calculus or permission of the instructor.