Essential Linear Algebra for Data Science
Course Features
Duration
8 hours
Delivery Method
Online
Available on
Limited Access
Accessibility
Mobile, Desktop, Laptop
Language
English
Subtitles
English
Level
Intermediate
Teaching Type
Self Paced
Video Content
8 hours
Course Description
Course Overview
Hands-On Training,Instructor-Moderated Discussions
Case Studies, Captstone Projects
Skills You Will Gain
What You Will Learn
Solve real-world problems using the foundational concept of matrices and explain where those problems might arise
Recognize what a matrix represents in n-dimensional space and how transformations act in that space
Identify key properties of any system of equations, such as independence, basis, rank, and more, and what they mean for the overall system
Demonstrate your understanding of projections in lower dimensions, while being able to carry out higher dimension projections for real-world problems
Course Instructors
James Bird
Data Science & Applied Mathematics
Course Reviews
Average Rating Based on 3 reviews
100%