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  • Matrix Algebra

Matrix Algebra Courses

Matrix algebra courses can help you learn vector spaces, matrix operations, eigenvalues, and linear transformations. You can build skills in solving systems of equations, performing matrix factorizations, and applying these concepts to data analysis and machine learning. Many courses introduce tools such as MATLAB, Python libraries like NumPy, and R for computational tasks, demonstrating how these skills are utilized in areas like artificial intelligence and statistics.

Popular Matrix Algebra Courses and Certifications


  • D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, Dimensionality Reduction, Mathematical Software, Machine Learning Methods, Data Transformation, Data Manipulation, Applied Mathematics, Machine Learning, Python Programming, Algebra, Image Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    Universidad Nacional Autónoma de México

    Trigonometría y geometría analítica

    Skills you'll gain: Trigonometry, Geometry, Mathematical Modeling, Applied Mathematics, Algebra, Graphing, Systems Of Measurement

    4.7
    Rating, 4.7 out of 5 stars
    ·
    60 reviews

    Beginner · Course · 1 - 3 Months

  • T

    The University of Sydney

    Introduction to Linear Algebra

    Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Mathematics and Mathematical Modeling, Applied Mathematics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    42 reviews

    Intermediate · Course · 1 - 4 Weeks

  • V

    Vanderbilt University

    Generative AI Software Engineering

    Skills you'll gain: Claude Code, Prompt Engineering, ChatGPT, Anthropic Claude, Retrieval-Augmented Generation, Generative AI Agents, Prompt Patterns, Multimodal Prompts, Agentic Workflows, Generative AI, AI Workflows, AI Personalization, Software Development Tools, Artificial Intelligence and Machine Learning (AI/ML), Software Engineering, Software Development, Automation, Software Architecture, Software Testing, Software Design

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8.9K reviews

    Beginner · Specialization · 3 - 6 Months

  • B

    Birla Institute of Technology & Science, Pilani

    Linear Algebra for Machine Learning & AI

    Skills you'll gain: Linear Algebra, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, AI Enablement, Mathematics and Mathematical Modeling, Data Analysis, Machine Learning, Dimensionality Reduction, Model Optimization, Artificial Neural Networks

    Build toward a degree

    Beginner · Course · 1 - 3 Months

  • N

    Northeastern University

    Industrial Optimization: Models & Linear Programming

    Skills you'll gain: Operations Research, Applied Mathematics, Mathematical Software, Operational Analysis, Linear Algebra, Mathematical Modeling, Algorithms, Model Optimization

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Colorado Boulder

    Foundations of Quantum Mechanics

    Skills you'll gain: Electrical Engineering, Linear Algebra, Physics, Applied Mathematics, Advanced Mathematics, Mathematical Modeling, Differential Equations, Physical Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    90 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Measure Vector Similarity

    Skills you'll gain: Data-Driven Decision-Making, Applied Machine Learning, Vector Databases, NumPy, Model Evaluation, Machine Learning, Machine Learning Algorithms, Linear Algebra, Python Programming, Classification Algorithms, Numerical Analysis, Performance Testing

    Intermediate · Course · 1 - 4 Weeks

  • U

    Universidad Nacional Autónoma de México

    Funciones algebraicas y trascendentes

    Skills you'll gain: Algebra, Mathematical Software, Trigonometry, Mathematical Modeling, Graphing, Geometry, Arithmetic, Calculus

    4.5
    Rating, 4.5 out of 5 stars
    ·
    140 reviews

    Beginner · Course · 1 - 3 Months

  • I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Unsupervised Learning, Statistical Methods, Descriptive Statistics, Jupyter, Statistics, Geometry, Linear Algebra, Data Transformation, Python Programming, Advanced Mathematics, Applied Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Pittsburgh

    Linear Algebra and Regression Fundamentals for Data Science

    Skills you'll gain: NumPy, Matplotlib, Plot (Graphics), Linear Algebra, Pandas (Python Package), Data Manipulation, Applied Mathematics, Python Programming, Data Analysis, Data Science, Mathematical Software, Regression Analysis, Data Visualization Software, Mathematics and Mathematical Modeling, Probability & Statistics, Numerical Analysis, Mathematical Modeling, Machine Learning, Computational Logic, Logical Reasoning

    Build toward a degree

    3.9
    Rating, 3.9 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Honors Algebra 2: Series, Trigonometry, and Probability

    Skills you'll gain: Trigonometry, Probability, Data Analysis, Probability & Statistics, Data Literacy, Statistical Analysis, Algebra, Probability Distribution, Descriptive Statistics, Mathematical Modeling, Graphing, Applied Mathematics, Statistics, Arithmetic

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular matrix algebra courses

  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Trigonometría y geometría analítica: Universidad Nacional Autónoma de México
  • Introduction to Linear Algebra: The University of Sydney
  • Generative AI Software Engineering: Vanderbilt University
  • Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
  • Industrial Optimization: Models & Linear Programming: Northeastern University
  • Foundations of Quantum Mechanics: University of Colorado Boulder
  • Measure Vector Similarity: Coursera
  • Funciones algebraicas y trascendentes : Universidad Nacional Autónoma de México
  • Mathematics for Machine Learning: PCA: Imperial College London

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Statistical Classification (17)
Reinforcement Learning (13)
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Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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