Eigenvectors Courses and Certifications

Connect the Dots: Factor Analysis

88 ratings at Udemy

Factor extraction using PCA in Excel, R and Python

• Udemy
• 1 hour 36 minutes
• On-Demand
• Paid Course

Machine Learning Foundations: Linear Algebra

1077 ratings at LinkedIn Learning

Explore the fundamentals of linear algebra, the mathematical foundation of machine learning algorithms.

• LinkedIn Learning
• 1 hour 21 minutes
• On-Demand
• Free Trial Available

Linear Algebra and Regression Fundamentals for Data Science

Master linear algebra and regression techniques using Python to build essential mathematical foundations for data science applications and predictive modeling.

• Coursera
• 16 hours 26 minutes
• On-Demand
• Paid Course

Birla Institute Of Technology And Science–Pilani (BITS–Pilani)

Linear Algebra for Machine Learning & AI

Master the mathematical foundations of AI and ML through matrices, linear systems, eigenvalues, transformations, and programming to build essential analytical skills.

• Coursera
• 1 day 11 hours 51 minutes
• On-Demand
• Paid Course

Linear Algebra: Tutoring Solution

Self-paced video and text lessons with quizzes to help you master linear algebra concepts, from basic algebra to eigenvalues and eigenvectors. Available 24/7 for exam prep or grade improvement.

• Study.com
• 6 hours 8 minutes
• On-Demand
• Paid Course

Linear Algebra Syllabus & Lesson Plans

Comprehensive resource for teaching linear algebra, offering adaptable video lessons, transcripts, and quizzes. Covers key topics from basic algebra to eigenvalues, simplifying course planning and delivery.

• Study.com
• 5 hours 36 minutes
• On-Demand
• Paid Course

Math 201: Linear Algebra

Master fundamental concepts of vector spaces, matrices, eigenvalues, and linear transformations to solve complex mathematical problems and build analytical thinking skills.

• Study.com
• 10 hours 24 minutes
• On-Demand
• Paid Course

Numerical Methods Applied to Chemical Engineering

Explore advanced numerical methods for solving complex chemical engineering problems, including heat transfer, fluid mechanics, and molecular simulation. Gain practical skills in computational techniques.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Linear Algebra

Master matrix theory and linear algebra, exploring systems of equations, vector spaces, determinants, eigenvalues, and applications in various disciplines. Gain practical skills for solving complex mathematical problems.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Linear Algebra and NxN Systems

Master algebra and MATLAB to solve large systems of differential equations, explore vector spaces, tackle eigenvalue problems, and model real-world phenomena.

• MITx Online
• 11 weeks, 5-8 hours a week
• On-Demand
• Free Online Course

Learn Differential Equations: Up Close with Gilbert Strang and Cleve Moler

Dive into differential equations with MIT's Gilbert Strang and MathWorks' Cleve Moler, covering theory, MATLAB applications, and real-world examples from linear systems to chaos.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Khan Academy

Linear Subspaces - Vectors and Spaces - Linear Algebra

Explore linear subspaces in Rn, a fundamental concept in linear algebra. Learn to visualize and understand multi-dimensional mathematical reasoning through vectors, matrices, and transformations.

• YouTube
• 23 minutes
• On-Demand
• Free Video

Steve Brunton

Engineering Math - Differential Equations and Dynamical Systems

Master differential equations and dynamical systems for real-world modeling in fluid dynamics, weather systems, biomechanics, and control theory with comprehensive mathematical foundations.

• YouTube
• 22 hours 3 minutes
• On-Demand
• Free Video

Wrath of Math

Elementary Linear Algebra - Complete Course

Master matrix operations, vector spaces, eigenvalues, and transformations through comprehensive lessons covering Gaussian elimination, determinants, orthogonality, and advanced topics.

• YouTube
• 17 hours 13 minutes
• On-Demand
• Free Video

NPTEL;  IIT Madras

Linear Algebra

In this course, you will learn systems of linear equations, Matrices, Elementary row operations, Row-reduced echelon matrices. Vector spaces, Subspaces, Bases and dimension, Ordered bases and coordinates.

• YouTube
• 1 day 16 hours
• On-Demand
• Free Video