Probability and Statistics

This is an introduction course to probability theory and statistics. Topics in probability include discrete and continuous random variables, probability distributions, functions of random variables, simulation of random variables and Monte Carlo methods, law of large number, central limit theorem. Topics in statistics include basic statistical inference, parameter estimation, correlation, regression, hypothesis testing, stochastic processes, simulation and bootstrap with application in data sciences.