Probability and Statistics for Data Science

Catalog description

This course serves as an introduction to mathematical statistics concepts and methods essential for multivariate statistical analysis. Students will learn core ideas in probability theory and statistical methods including properties of probability distributions, expectation and variance of random variables, conditional probability and independence, discrete bivariate distributions, correlation, covariance, sampling distributions, point estimation, confidence intervals, hypothesis testing and regression analysis.