In recent years, Bayesian statistics has gained prominence in various fields such as economics, finance, medicine, psychology, and marketing. This lecture will begin by covering the basics of probability theory and then explore key aspects of Bayesian statistics, including Bayes' theorem, Bayesian inference, numerical analysis using Markov chain Monte Carlo methods, and Bayesian statistical modeling. The session will also incorporate practical exercises using Python.