Udemy – Matrix Algebra Explained 2020-7

Apr 18, 2025 - 18:31

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Matrix Algebra Explained is a deep understanding of matrices and their applications course published by Udemy Online Academy. This course covers fundamental concepts, including matrix operations, determinants, inverses, eigenvalues, and eigenvectors, along with real-world applications in solving systems of equations, transformations, and machine learning. With step-by-step explanations, practical examples, and problem-solving techniques, this course ensures that learners understand the fundamentals and develop the skills needed to effectively use matrix algebra in practical scenarios.

Key Points: This course covers the fundamentals of matrices, including operations, determinants, inverses, eigenvalues, and eigenvectors. It explains how matrices are used in solving linear equations, transformations, and real-world applications such as physics and data science. This course is recommended for those who want to learn the basics of linear algebra and be able to work with matrices. By the end of this training course, you will have a complete understanding of matrices and their applications.

What you will learn in Matrix Algebra Explained:

How to Solve Linear Systems Using Gaussian Elimination
How to Solve Linear Systems Using Gauss-Jordan Elimination
How to Put an Augmented Matrix in Row Echelon Form
Application of Determinant – Finding the Area of a Triangle
Applications of Determinant – Testing for Collinearity
Applications of Determinant – Finding the Equation of a Line Using Determinant
And…

Course specifications

Publisher: Udemy
Instructors: John Greene, M.A.
Language: English
Level: Introductory to Advanced
Number of Lessons: 42
Duration: 8 hours and 40 minutes