This chapter reviews essential mathematical and computational tools required for effective statistical analysis. Beginning with Matrix Theory and core concepts in linear algebra, we then explore foundational Probability Theory, including random variables, distributions, and expectations. The chapter also revisits important mathematical skills—such as functions, derivatives, and logarithms—before moving into practical elements like data import/export and data manipulation using R. These topics ensure that readers are well-equipped to tackle the more advanced statistical methods presented in later chapters.