Linear algebra can be challenging due to its abstract concepts like vector spaces, matrices, and eigenvalues. Unlike arithmetic, it requires strong analytical thinking and visualization. However, with practice and clear instruction, students often find it rewarding, as it's widely used in engineering, physics, computer science, and data science applications.