Probability and Statistics for Data Science

4 credits

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: none. Restricted to students within the DSC-MS-001 and DSC-PhD-001 major.