Description This course provides a rigorous introduction to mathematical tools for data science drawn from linear algebra, Fourier analysis, probability theory, and convex optimization. The main topics are covariance matrices, principal component analysis, linear regression, regularization, sparse regression, frequency representations, the short-time Fourier transform, wavelets, Wiener filtering,