Diagonalization Courses and Certifications

Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

32 ratings at Coursera

Develop matrix algebra techniques, study determinants, and explore eigenvectors to analyze linear transformations. Apply concepts to Markov chains and Google PageRank algorithm.

• Coursera
• 14 hours 53 minutes
• On-Demand
• Free Online Course (Audit)

Linear Algebra: Orthogonality and Diagonalization

19 ratings at Coursera

Explore orthogonality, diagonalization, and symmetric matrices, gaining skills applicable to AI and machine learning. Develop a strong foundation for advanced studies in data science and mathematics.

• Coursera
• 9 hours 15 minutes
• On-Demand
• Free Online Course (Audit)

Linear Algebra IV: Orthogonality & Symmetric Matrices and the SVD

1 review

This course takes you through roughly five weeks of MATH 1554, Linear Algebra, as taught in the School of Mathematics at The Georgia Institute of Technology.

• edX
• 3 weeks, 5-6 hours a week
• On-Demand
• Free Online Course (Audit)

Algèbre Linéaire (Partie 2)

1 review

Un MOOC francophone d'algèbre linéaire accessible à tous, enseigné de manière rigoureuse et ne nécessitant aucun prérequis.

• edX
• 5 weeks, 6-8 hours a week
• On-Demand
• Free Online Course (Audit)

Linear Algebra II: Matrices and Linear Transformations

5 ratings at edX

This course provides an overview of bachelor-level linear algebra. You will review all the concepts and practice and refresh the skills related to matrices and linear transformations.

• edX
• 6 weeks, 4-6 hours a week
• On-Demand
• Free Online Course (Audit)

Linear Algebra Basics

Explore vector spaces, linear transformations, eigenvalues, and matrix decompositions. Gain essential mathematical foundations for machine learning and data science applications.

• Coursera
• 21 hours 9 minutes
• On-Demand
• Free Online Course (Audit)

The University of Sydney

Introduction to Linear Algebra

17 ratings at Coursera

Explore geometric vectors, lines, planes, matrices, determinants, and eigentheory. Gain practical skills in solving systems of equations and understanding linear transformations, with applications in various fields.

• Coursera
• 1 day 12 hours 14 minutes
• On-Demand
• Free Online Course (Audit)

Linear Algebra

1 review

Explore fundamental concepts and techniques of linear algebra, from solving systems to eigenvalues, with emphasis on both theory and practical applications.

• YouTube
• 10 hours
• On-Demand
• Free Online Course

NPTEL;  IISc Bangalore

Advanced Matrix Theory and Linear Algebra for Engineers

1 review

Comprehensive exploration of advanced linear algebra concepts for engineers, covering vector spaces, transformations, orthogonality, diagonalization, and singular value decomposition.

• YouTube
• 1 day 14 hours
• On-Demand
• Free Online Course

IISc Bangalore;  NPTEL

Linear Algebra

Comprehensive introduction to linear algebra, covering vectors, matrices, transformations, and advanced concepts. Suitable for undergraduates in mathematics, physics, engineering, and computer science.

• Swayam
• 12 weeks
• On-Demand
• Free Online Course

Professor Dave Explains

Linear Algebra

Comprehensive exploration of linear algebra concepts, from matrices and vector spaces to eigenvalues and transformations, with practical applications and in-depth explanations.

• YouTube
• 3 hours 30 minutes
• On-Demand
• Free Online Course

Eigenvalues

Explore eigenvalues through diverse applications, from Zelda to Pokémon battles. Master matrix operations, differential equations, and advanced concepts like Jordan Canonical Form.

• YouTube
• 7 hours
• On-Demand
• Free Online Course

Diagonalization

Aprende sobre valores y vectores propios, diagonalización de matrices, sistemas de ecuaciones diferenciales y el teorema de Cayley-Hamilton en este detallado contenido de 7 horas.

• YouTube
• 7 hours
• On-Demand
• Free Online Course

Advanced Matrix Theory and Linear Algebra for Engineers

Comprehensive exploration of advanced linear algebra concepts for engineers, covering vector spaces, transformations, orthogonality, diagonalization, and singular value decomposition.

• YouTube
• 1 day 8 hours
• On-Demand
• Free Online Course

Steve Brunton

Matrix Systems of First Order Equations Using Eigenvectors and Eigenvalues

Explore matrix systems of first-order equations, diagonalization techniques, and higher-order linear ODEs. Learn to solve complex differential equations using eigenvectors and eigenvalues.

• YouTube
• 48 minutes
• On-Demand
• Free Online Course