Eigenvalues Courses and Certifications

Career Certificate

Linear Algebra Programming with NumPy

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
• Self-Paced
• 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
• Self-Paced
• 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
• Self-Paced
• Free Certificate

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
• Self-Paced
• Free Certificate

Career Certificate

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
• Self-Paced
• Free Certificate
• 3 courses

Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

79 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
• Self-Paced
• Paid Course

Essential Linear Algebra for Data Science

191 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
• Self-Paced
• Paid Course

Become a Linear Algebra Master

7730 ratings at Udemy

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

• Udemy
• 15 hours 53 minutes
• Self-Paced
• Paid Course

Master linear algebra: theory and implementation in code

6702 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
• Self-Paced
• Paid Course

A Vision of Linear Algebra

1 rating

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
• Self-Paced
• Free Online Course

Career Certificate

Mathematical Foundations for Data Science and Analytics

12 ratings at Coursera

Master essential mathematical concepts including linear algebra, statistics, calculus, and probability theory to build strong foundations for data science and analytics careers.

• Coursera
• 4 weeks, 10 hours/week
• Self-Paced
• Paid Course
• 3 courses

Linear Algebra and Feature Selection in Python

1021 ratings at Udemy

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

• Udemy
• 3 hours 10 minutes
• Self-Paced
• Paid Course

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
• Self-Paced
• Paid Course

Foundations of Statistical Learning & Algorithms

Master fundamental mathematical concepts for machine learning through linear algebra, probability theory, and optimization techniques, focusing on practical applications and model evaluation methods.

• Coursera
• 21 hours 22 minutes
• Self-Paced
• 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
• Self-Paced
• Paid Course