The Hartman-Grobman Theorem plays a pivotal role in the qualitative analysis of dynamical systems, providing insights into the behavior of systems near hyperbolic equilibrium points through linear approximations. This paper presents an in-depth exploration of the theorem, clarifying its technical stipulations and demonstrating its application with practical examples. We begin by defining key concepts integral to dynamical systems such as equilibrium points, linearization, and the Jacobian matrix. Subsequent sections discuss the conditions under which the theorem applies, particularly focusing on hyperbolicity and the importance of eigenvalues in determining system stability. Additionally, the notion of topological conjugacy is examined to illustrate how nonlinear and linear system trajectories correlate qualitatively. We further investigate the concept of Lipschitz continuity and its relevance to the theorem's applicability. Through illustrative examples, including simple linear systems and more complex saddle points, we underscore the theorem's utility in simplifying the understanding of nonlinear dynamics. This comprehensive coverage of the theme not only elucidates the fundamental aspects of the Hartman-Grobman Theorem but also highlights its significant implications for predicting and analyzing system behavior in various scientific and engineering applications.