Linear Algebra for Data Science in Python

Course Overview

Mathematics is a broad subject, but there are specific subfields that are heavily employed in data science like linear algebra. In order to thrive in data science, you must have all the numerical tools so you can eventually understand the most complicated of machine learning algorithms.

Target Audience

Business analysts, Business Executives, People who want a career in data science, business intelligence, IT.

Learning Objectives

Understand the fundamentals of linear algebra; Learn what are vectors, matrices and tensors; Start performing parallel computation with vectorized code.

Business Outcomes
 

Provide the mathematical prerequisites for complicated machine learning.