Eigenvalues Courses and Certifications

Microcredential

Linear Algebra Programming with NumPy

4 ratings at CodeSignal

Master linear algebra fundamentals with NumPy through hands-on programming exercises, covering vectors, matrices, eigenvalues, and practical applications in data science and machine learning.

• CodeSignal
• 10 hours
• On-Demand
• Free Certificate
• 3 courses

Basic Linear Algebra with SciPy

Master SciPy's linear algebra capabilities for solving equations, understanding eigenvalues, matrix decomposition, and working with sparse matrices in Python.

• CodeSignal
• 1 hour
• On-Demand
• Free Certificate

Microcredential

Linear Algebra Programming with R

Master linear algebra concepts through R programming with practical applications in data science, covering vectors, matrices, operations, eigenvalues, and statistical analysis techniques.

• CodeSignal
• 10 hours
• On-Demand
• Free Certificate
• 3 courses

Navigating Data Simplification with PCA

Master dimensionality reduction techniques using Principal Component Analysis in R, from understanding eigenvectors to implementing PCA for feature extraction and classification tasks.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Unsupervised Learning and Clustering

Master unsupervised learning by building k-Means, mini-batch k-Means, PCA, and DBSCAN from scratch. Assess cluster quality using key metrics like homogeneity and completeness.

• CodeSignal
• 3 hours
• On-Demand
• Free Certificate

Become a Linear Algebra Master

7684 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

Master linear algebra: theory and implementation in code

5198 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 and Feature Selection in Python

999 ratings at Udemy

Gain the Theoretical and Practical Foundations to Learn Machine Learning and AI with Understanding

• Udemy
• 3 hours 10 minutes
• On-Demand
• Paid Course

Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

76 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
• Paid Course

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
• $498.00
• 2 courses

Essential Linear Algebra for Data Science

189 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 49 minutes
• On-Demand
• Paid Course

Linear Algebra and Geometry 2

300 ratings at Udemy

Much more about matrices; abstract vector spaces and their bases; linear transformations animated with MANIM

• Udemy
• 1 day 23 hours 9 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)