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Mathematics 4140: Matrix Theory
I took this course as a senior in the mathematics program.
COURSE DESCRIPTION:
Basic Properties of Matrices, Determinants, Vector Spaces, Linear Transformations, Eigenvalues, Eigenvectors, and Gauss-Jordan Normal Forms
Cramer's Rule
Linear Independence, Dimension, Rank, Basis Functions
Spaces and Subspaces
This course is also a proofs course
HOW IS IT USEFUL IN DATA SCIENCE?
Linear Algebra is a building block for data manipulation and is used heavily with the development of algorithms and advanced statistics. Check out this Medium article about the importance of Linear Algebra in Data Science