MATH - Mathematics

MATH-51000 Mathematics for Data Scientists

Study of mathematical concepts used in data science applications. Topics include differentiation and integration of functions, optimization techniques, matrix operations, eigenvalues and eigenvectors, curve fitting, and discrete mathematics.

3

MATH-51100 Concepts of Statistics 1

Distribution of random variables, conditional probability and independence, distributions of functions of random variables, and limiting distributions are discussed.

3

Prerequisites

MATH 51000 or prior coursework in Calculus

MATH-51200 Concepts of Statistics 2

Multivariate data analysis, preliminary data analysis, exploratory factor analysis, multiple regression analysis, multiple discriminant analysis, logistic regression, MANOVA and GLM, and cluster analysis are discussed.

3

Prerequisites

MATH 51100