500

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.

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

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.