Analytical Tools for Statistics and Data Science I

2 units

This is an 8 week short course. This is an introductory course in matrix algebra. The focus is on the concepts and computational aspects of matrix algebra using a high-level programming language or software, and its applications in Statistics and Data Science. Topics include the standard matrix and vector operations, inverses, determinants, system of linear equations, diagonalization (eigenvalues and eigenvectors), and other key matrix decompositions (LU, QR, and Cholesky).