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Matrix Courses

Matrix courses can help you learn linear transformations, eigenvalues, matrix operations, and applications in data science and machine learning. You can build skills in solving systems of equations, performing dimensionality reduction, and applying matrix factorization techniques. Many courses introduce tools like MATLAB, NumPy, and R, that support performing complex calculations and visualizing data in practical scenarios.


Popular Matrix Courses and Certifications


  • Status: Preview
    Preview
    U

    Universitat Politècnica de València

    Basic Math: Algebra

    Skills you'll gain: Linear Algebra, Algebra, Geometry, General Mathematics, Applied Mathematics

    Beginner · Course · 1 - 4 Weeks

  • 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

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Fundamental Linear Algebra Concepts with Python

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    18 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Simplilearn

    Linear Algebra for ML and Analytics Training

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

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    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

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Packt

    Advanced Game Math - Affine Transformations

    Skills you'll gain: Unity Engine, Animation and Game Design, Video Game Development, Data Structures, Computer Graphics, Linear Algebra, Advanced Mathematics, Applied Mathematics, Algorithms

    Advanced · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    K

    Koç University

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

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

    4.1
    Rating, 4.1 out of 5 stars
    ·
    43 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Octave for Machine Learning: Analyze & Visualize

    Skills you'll gain: Plot (Graphics), Scientific Visualization, Text Mining, Statistical Analysis, Matlab, Statistical Methods, Data Visualization, Visualization (Computer Graphics), Descriptive Statistics, Unstructured Data, Data Analysis, Statistical Software, Computer Programming, Mathematical Software, Applied Machine Learning, Data Transformation, Data Preprocessing, Data Manipulation, Analytics, Data Processing

    Mixed · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    U

    University at Buffalo

    Computer Vision Basics

    Skills you'll gain: Computer Vision, Image Analysis, Color Theory, Digital Signal Processing, Mathematical Software, Artificial Intelligence, Computer Programming, Matlab, AI literacy, Algorithms, Calculus, Probability & Statistics

    4.2
    Rating, 4.2 out of 5 stars
    ·
    1.8K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

    Skills you'll gain: Matlab, Numerical Analysis, Mathematical Software, Engineering Analysis, Linear Algebra, Differential Equations, Applied Mathematics, Computational Thinking, Integral Calculus, Scripting, Simulations, Calculus, Scientific Visualization, Programming Principles, Plot (Graphics), Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    432 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    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

  • 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
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

1234…100

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

  • Basic Math: Algebra: Universitat Politècnica de València
  • Introduction to Linear Algebra: The University of Sydney
  • Fundamental Linear Algebra Concepts with Python: Howard University
  • Linear Algebra for ML and Analytics Training: Simplilearn
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Advanced Game Math - Affine Transformations: Packt
  • Doğrusal Cebir I: Uzaylar ve İşlemciler / Linear Algebra I: Spaces and Operators: Koç University
  • Octave for Machine Learning: Analyze & Visualize: EDUCBA
  • Computer Vision Basics: University at Buffalo
  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology

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