Statistics - Fdn. of Math for Data Science

Catalog description

Topics in single- and multiple-variable differential and integral calculus and linear algebra with applications in statistics and data science. Mathematical concepts including limits, derivatives, integrals, sequences, series, vectors, matrices, and optimization problems will be covered in the context of statistical applications. Prerequisite: College algebra or equivalent.