The document discusses various applications of linear algebra in real life, including solving systems of linear equations, performing matrix operations, analyzing vector spaces, computing eigenvalues and eigenvectors, using determinants, statistical modeling with linear regression, solving optimization problems, studying graph theory, and its usefulness in fields like computer graphics, data science, and engineering. Linear algebra helps solve equations, optimize problems, and perform matrix operations. The document concludes that learning linear algebra provides practical problem-solving skills for real-world applications.