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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


  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Introduction to Data, Signal, and Image Analysis with MATLAB

    Skills you'll gain: Image Analysis, Data Visualization Software, Machine Learning Methods, Matlab, Applied Machine Learning, Dimensionality Reduction, Digital Signal Processing, Data Analysis, Data Processing, Mathematical Software, Classification Algorithms

    4.6
    Rating, 4.6 out of 5 stars
    ·
    235 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Honors Algebra 2: Linear and Quadratic Functions

    Skills you'll gain: Algebra, Graphing, Advanced Mathematics, Logical Reasoning, Applied Mathematics, Mathematical Modeling, Visualization (Computer Graphics), Correlation Analysis, Predictive Modeling

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    K

    Koç University

    Doğrusal Cebir I: Uzaylar ve İşlemciler / Linear Algebra I: Spaces and Operators

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Mathematics and Mathematical Modeling, Calculus, Advanced Mathematics, Differential Equations, Mathematical Theory & Analysis, Trigonometry

    4
    Rating, 4 out of 5 stars
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    44 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    K

    Koç University

    Doğrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications

    Skills you'll gain: Linear Algebra, Differential Equations, Applied Mathematics, Advanced Mathematics, Algebra, Mathematical Modeling, Mathematical Theory & Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    27 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Preview
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    T

    Tecnológico de Monterrey

    1.- El Cálculo - Modelo Lineal

    Skills you'll gain: Arithmetic, Mathematics Education, Mathematical Modeling, Digital pedagogy, General Mathematics, Calculus, Applied Mathematics, Mathematical Software, Algebra, Graphing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.1K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Fundamental MATLAB Programming for AI

    Skills you'll gain: Matlab, Model Optimization, Scientific Visualization, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Software, Data Wrangling, Data Preprocessing, Mathematical Modeling, Engineering Analysis, Computational Logic

    4.9
    Rating, 4.9 out of 5 stars
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    78 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
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    S

    Simplilearn

    Linear Algebra for ML and Analytics Training

    Skills you'll gain: Mathematical Modeling, Linear Algebra, Dimensionality Reduction, Data Analysis, Analytical Skills, Feature Engineering, Applied Machine Learning, Data Science, Data Transformation, Algebra

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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
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    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    H

    Howard University

    Introduction to Linear Algebra and Python

    Skills you'll gain: Linear Algebra, Data Visualization, Plot (Graphics), Scientific Visualization, NumPy, Mathematical Software, Algebra, Jupyter, Mathematical Modeling, Data Science, Software Development Tools, Python Programming, Software Installation, Data Manipulation, Git (Version Control System)

    4.4
    Rating, 4.4 out of 5 stars
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    16 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Generative AI Software Engineering

    Skills you'll gain: Claude Code, Prompt Engineering, Agentic systems, ChatGPT, Anthropic Claude, Retrieval-Augmented Generation, Generative AI Agents, Prompt Patterns, Multimodal Prompts, Generative AI, Agentic 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
    ·
    9.2K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Linear Models for Data Science 2: Statistical Linear Models

    Skills you'll gain: Regression Analysis, Linear Algebra, R Programming, Data Science, Probability Distribution, Statistical Modeling, Mathematical Modeling, Statistical Methods, Probability & Statistics, Applied Mathematics, Statistical Analysis, Statistics, Statistical Inference, Model Evaluation, Integral Calculus

    4.6
    Rating, 4.6 out of 5 stars
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    108 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Model Optimization, Machine Learning Methods, Applied Mathematics, Calculus, Applied Machine Learning, Numerical Analysis, Machine Learning Algorithms, Software Visualization, Machine Learning, Python Programming, Advanced Mathematics, Artificial Neural Networks, Deep Learning, Computer Programming, Derivatives

    4.8
    Rating, 4.8 out of 5 stars
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    967 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
  • Honors Algebra 2: Linear and Quadratic Functions: Johns Hopkins University
  • DoÄŸrusal Cebir I: Uzaylar ve İşlemciler / Linear Algebra I: Spaces and Operators: Koç University
  • DoÄŸrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications: Koç University
  • 1.- El Cálculo - Modelo Lineal: Tecnológico de Monterrey
  • Fundamental MATLAB Programming for AI: University of Glasgow
  • Linear Algebra for ML and Analytics Training: Simplilearn
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Introduction to Linear Algebra and Python: Howard University
  • Generative AI Software Engineering: Vanderbilt University

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

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