In this section, we'll introduce the fundamental concepts of probability theory, including events, sample spaces, and probability measures. We'll also discuss the importance of probability theory in various fields and its applications.

In this section, we'll introduce the principles of statistical inference, including hypothesis testing, confidence intervals, and estimation. We'll discuss the importance of statistical inference in making informed decisions based on data.

In this section, we'll introduce the concept of stochastic processes and discuss their importance in modeling real-world systems. We'll learn about Markov chains and their applications.