DSC 212Probability and Statistics for Data Science
Probability, random variables, distributions, central limit theorem, maximum likelihood estimation, method of moments, confidence intervals, hypothesis testing, Bayesian estimation, introduction to simulation and the bootstrap.
Prerequisites
From the catalog: “none. Restricted to students within the DS75 and DS76 major.”