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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


  • 2

    28DIGITAL

    I/O-efficient algorithms

    Skills you'll gain: File I/O, Data Structures, Theoretical Computer Science, Algorithms, Memory Management, Graph Theory, Data Access, Performance Tuning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    60 reviews

    Advanced · Course · 1 - 3 Months

  • 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: 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

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Moneyball and Beyond

    Skills you'll gain: Analytics, People Analytics, Data Analysis, Advanced Analytics, Business Metrics, Statistical Analysis, Statistical Programming, Descriptive Analytics, Probability & Statistics, Statistics, Python Programming, Statistical Methods, Data Manipulation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    53 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford Online

    Divide and Conquer, Sorting and Searching, and Randomized Algorithms

    Skills you'll gain: Algorithms, Graph Theory, Data Structures, Theoretical Computer Science, Computational Thinking, Mathematical Theory & Analysis, Analysis, Probability & Statistics, Probability, Design Strategies, Logical Reasoning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    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: 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: Free Trial
    Free Trial
    P

    Politecnico di Milano

    Project Management: Life cycle and project planning

    Skills you'll gain: Project Management Life Cycle, Project Management, Project Planning, Project Scoping, Scope Management, Project Schedules, Work Breakdown Structure, Workflow Management, Timelines, Organizational Skills, Scheduling, Organizational Structure, Resource Management, Matrix Management, Resource Allocation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    123 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    T

    The Hong Kong University of Science and Technology

    Mathematics for Engineers: The Capstone Course

    Skills you'll gain: Matlab, Engineering Analysis, Mathematical Software, Mechanical Engineering, Numerical Analysis, Mathematical Modeling, Applied Mathematics, Simulation and Simulation Software, Differential Equations, Mechanics, Calculus

    5
    Rating, 5 out of 5 stars
    ·
    45 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    Sungkyunkwan University

    Machine Learning Algorithms

    Skills you'll gain: Machine Learning Algorithms, Decision Tree Learning, Classification Algorithms, Statistical Machine Learning, Unsupervised Learning, Machine Learning, Supervised Learning, Python Programming, Algorithms, Applied Machine Learning, Linear Algebra, Bayesian Statistics, Probability & Statistics

    3.7
    Rating, 3.7 out of 5 stars
    ·
    9 reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    V

    Vanderbilt University

    Mastering Programming with MATLAB

    Skills you'll gain: Object Oriented Programming (OOP), Algorithms, Object Oriented Design, Software Engineering, Program Development, Matlab, Application Development, Computer Programming, Theoretical Computer Science, Programming Principles, Engineering Calculations, Mathematical Software, Engineering Analysis, Applied Mathematics, Numerical Analysis, Scripting, Performance Tuning, User Interface (UI)

    4.8
    Rating, 4.8 out of 5 stars
    ·
    435 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Integral Calculus and Numerical Analysis for Data Science

    Skills you'll gain: Integral Calculus, Numerical Analysis, Calculus, Data Science, Applied Mathematics, Linear Algebra, Probability & Statistics, Derivatives

    4.6
    Rating, 4.6 out of 5 stars
    ·
    111 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • I/O-efficient algorithms: 28DIGITAL
  • Fundamental Linear Algebra Concepts with Python: Howard University
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Moneyball and Beyond: University of Michigan
  • Divide and Conquer, Sorting and Searching, and Randomized Algorithms: Stanford Online
  • DoÄŸrusal Cebir II: Kare Matrisler, Hesaplama Yöntemleri ve Uygulamalar / Linear Algebra II: Square Matrices, Calculation Methods and Applications: Koç University
  • Advanced Game Math - Affine Transformations: Packt
  • Project Management: Life cycle and project planning: Politecnico di Milano
  • Mathematics for Engineers: The Capstone Course: The Hong Kong University of Science and Technology
  • Machine Learning Algorithms: Sungkyunkwan University

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