Eigenvalues Courses and Certifications

Linear Algebra

To illustrate the beauty and power of Linear Algebra.

• XuetangX
• Self-Paced
• Free Online Course

Linear Algebra with Applications

Master fundamental linear algebra concepts and their real-world applications, from solving linear equations to web search algorithms, population modeling, and computer image transformation.

• XuetangX
• Self-Paced
• Free Online Course

Linear Algebra

Master essential linear algebra concepts from matrices and determinants to vector spaces and eigenvalues, building practical computational skills and theoretical understanding for solving complex mathematical problems.

• XuetangX
• Self-Paced
• Free Online Course

Linear Algebra for Machine Learning and Quantum Computing

Master linear algebra concepts—from vector spaces and SVD to PCA and quantum circuits—with applications in machine learning, data science, and quantum computing.

• Swayam
• Self-Paced
• Free Online Course

Ordinary Differential Equations

Master fundamental concepts and practical applications of ordinary differential equations, from basic theory to advanced problem-solving using Matlab, with emphasis on real-world mathematical modeling and computational methods.

• XuetangX
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Video

Master quantum diagonalization algorithms through this skills assessment quiz and earn your professional badge upon successful completion.

• IBM Training
• 1 hour
• Self-Paced
• Free Online Course

Master linear algebra fundamentals through concise videos, interactive notebooks, and real-world applications. Covers linear equations, matrices, determinants, eigenvalues, and more, preparing you for advanced studies in data science and engineering.

• Wolfram U
• 4 hours
• Self-Paced
• Free Certificate

MIT - A 2020 Vision of Linear Algebra, Spring 2020

3 ratings

Professor Strang presents a fresh approach to linear algebra, focusing on matrices. This concise series covers key concepts like column space, orthogonality, eigenvalues, and solving linear systems.

• YouTube
• 1 hour 30 minutes
• Self-Paced
• Free Video

Steve Brunton

Linear Systems - Control Bootcamp

1 rating

Analyze ordinary differential equations using eigenvalues and eigenvectors, laying the foundation for linear control theory in this comprehensive mathematical exploration.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

NPTEL;  IIT Bombay

Basic Linear Algebra

Linear Algebra is a basic course for students intended to go for Engineering studies and higher studies in Mathematics. We will cover the basic tools needed in these branches.

• YouTube
• 16 hours
• Self-Paced
• Free Video

NPTEL;  IIT Madras

Dynamics of Ocean Structures

Explore ocean structure dynamics, from types and environmental forces to vibration analysis and stochastic dynamics. Learn about platforms, fluid-structure interaction, and response control methods.

• YouTube
• 1 day 17 hours
• Self-Paced
• Free Video

Khan Academy

Null Space and Column Space Basis - Vectors and Spaces - Linear Algebra - Khan Academy

Learn to determine null space and column space basis for matrices, essential concepts in linear algebra for understanding vector spaces and transformations.

• YouTube
• 25 minutes
• Self-Paced
• Free Video

Khan Academy

Vector Examples - Vectors and Spaces - Linear Algebra - Khan Academy

Explore visual understanding of basic vector operations in linear algebra. Learn to visualize and manipulate vectors in multiple dimensions, enhancing your grasp of mathematical concepts.

• YouTube
• 26 minutes
• Self-Paced
• Free Video