Equipped with a foundational understanding of matrices, they are already on the path to grasping core principles of linear algebra. This knowledge can open doors to exciting fields like computer graphics, where transformations like rotations and scaling are represented by matrices. It lays the groundwork for understanding how computers represent and manipulate images and videos. Furthermore, this foundation can be a stepping stone towards grasping more advanced concepts like machine learning and artificial intelligence, where matrices play a crucial role in representing data and performing computations. Even in seemingly unrelated fields like economics or social sciences, matrices are used to model complex systems and analyze relationships between different variables.