DATA 261 - Mathematics for Data Science 2

Units: 4 Units
Four hours lecture per week
Prerequisite(s): DATA 260 or MATH 140 or MATH 150
Apply linear algebra concepts to varying different data structures. Additionally, students will learn how to program these concepts with modern statistical software. Topics include vectors, dot product, distance, projection, matrix algebra, solving linear systems of equations, linear independence, orthogonality, matrix factorization.

Graded: Letter Grade