Eigenvalues Courses and Certifications

A Vision of Linear Algebra

Explore Professor Strang's innovative approach to linear algebra, covering key concepts like column space, eigenvalues, and matrix factorizations through a series of concise, insightful videos.

• MIT OpenCourseWare
• On-Demand
• Free Online Course

Essential Linear Algebra for Data Science

154 ratings at Coursera

Learn essential linear algebra concepts for data science, focusing on practical applications without unnecessary proofs. Covers matrices, linear systems, and key properties, preparing you for advanced statistical modeling.

• Coursera
• 7 hours 48 minutes
• 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)

Control Bootcamp

2 reviews

Rapid overview of optimal control concepts, covering controllability, observability, LQR, and Kalman filter. Applies main approaches to simple Matlab examples for practical understanding.

• YouTube
• 11 hours
• On-Demand
• Free Video

Linear Algebra III: Determinants and Eigenvalues

13 ratings at edX

This course takes you through roughly three 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)

Microcredential

Applications of Linear Algebra

1 review

Explore advanced linear algebra concepts and their applications in data science, engineering, and computer graphics. Gain practical skills in matrix operations, eigenvalues, and singular value decomposition.

• edX
• 6 weeks, 5-6 hours a week
• On-Demand
• $398.00
• 2 courses

Become a Linear Algebra Master

5778 ratings at Udemy

Learn everything from Linear Algebra, then test your knowledge with 400+ practice questions

• Udemy
• 15 hours 53 minutes
• On-Demand
• Paid Course

Complete linear algebra: theory and implementation in code

4712 ratings at Udemy

Learn concepts in linear algebra and matrix analysis, and implement them in MATLAB and Python.

• Udemy
• 1 day 9 hours 46 minutes
• On-Demand
• Paid Course

Linear Algebra for Data Science in R

This course is an introduction to linear algebra, one of the most important mathematical topics underpinning data science.

• DataCamp
• 4 hours
• On-Demand
• Free Trial Available

Connect the Dots: Factor Analysis

84 ratings at Udemy

Factor extraction using PCA in Excel, R and Python

• Udemy
• 1-2 hours
• 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

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)

Algèbre Linéaire (Partie 3)

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)