DS5020 (Introduction to Linear Algebra and Probability for Data Science) course reviews and ratings at Northeastern (NEU). Average rating 4.2/5. Compare professors with RateMyProfessor reviews.
Offers an introductory course on the basics of statistics, probability, and linear algebra. Covers random variables, frequency distributions, measures of central tendency, measures of dispersion, moments of a distribution, discrete and continuous probability distributions, chain rule, Bayes’ rule, correlation theory, basic sampling, matrix operations, trace of a matrix, norms, linear independence and ranks, inverse of a matrix, orthogonal matrices, range and null-space of a matrix, the determinant of a matrix, positive semidefinite matrices, eigenvalues, and eigenvectors.
Data updated October 2026.