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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


  • U

    University of Colorado Boulder

    Expressway to Data Science: Essential Math

    Skills you'll gain: Linear Algebra, Integral Calculus, Algebra, Numerical Analysis, Calculus, Applied Mathematics, Data Science, Graphing, General Mathematics, Data Analysis, Statistical Methods, Mathematical Theory & Analysis, Derivatives, Probability & Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    480 reviews

    Intermediate · Specialization · 3 - 6 Months

  • G

    Google

    Foundations of Project Management

    Skills you'll gain: Project Management Life Cycle, Change Management, Project Management, Agile Project Management, Organizational Structure, Program Management, Project Planning, Agile Methodology, Waterfall Methodology, Strategic Thinking

    4.9
    Rating, 4.9 out of 5 stars
    ·
    101K reviews

    Beginner · Course · 1 - 4 Weeks

  • 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

  • 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

  • T

    The University of Sydney

    Introduction to Calculus

    Skills you'll gain: Calculus, Integral Calculus, Algebra, Geometry, Trigonometry, Derivatives, Graphing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    4K reviews

    Intermediate · Course · 1 - 3 Months

  • T

    The Hong Kong University of Science and Technology

    Differential Equations for Engineers

    Skills you'll gain: Differential Equations, Engineering Analysis, Applied Mathematics, Calculus, Integral Calculus, Numerical Analysis, Mathematical Modeling, Advanced Mathematics, Linear Algebra, Vibrations, Algebra, Electrical Engineering, Derivatives

    4.9
    Rating, 4.9 out of 5 stars
    ·
    2.2K reviews

    Beginner · Course · 1 - 3 Months

  • U

    University of Colorado Boulder

    Theory of Angular Momentum

    Skills you'll gain: Angular, Electrical Engineering, Mechanics, Linear Algebra, Physics, Engineering Analysis, Differential Equations, Applied Mathematics

    4.1
    Rating, 4.1 out of 5 stars
    ·
    20 reviews

    Intermediate · Course · 1 - 4 Weeks

  • S

    Starweaver

    Matlab and Simulink Basics

    Skills you'll gain: Matlab, Data Visualization, Engineering Practices, Data Literacy, Data Analysis, Applied Mathematics, Computer Programming, Data Manipulation

    4.1
    Rating, 4.1 out of 5 stars
    ·
    56 reviews

    Beginner · Course · 1 - 4 Weeks

  • V

    Vanderbilt University

    Introduction to Programming with MATLAB

    Skills you'll gain: File I/O, Code Reusability, Matlab, Functional Design, Computer Programming Tools, Computer Programming, Programming Principles, Program Development, Debugging, Mathematical Software, Development Environment, Computer Science, User Interface (UI), File Management, C (Programming Language), Data Structures, Computational Logic, Linear Algebra, Engineering Calculations, Problem Solving

    4.8
    Rating, 4.8 out of 5 stars
    ·
    18K reviews

    Beginner · Course · 1 - 3 Months

  • C

    Corporate Finance Institute

    Regression Analysis - Fundamentals & Practical Applications

    Skills you'll gain: Regression Analysis, Correlation Analysis, Advanced Analytics, Statistical Methods, Statistical Modeling, Statistical Analysis, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Microsoft Excel, Statistical Programming, Data Analysis Software, Model Evaluation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6 reviews

    Advanced · Course · 1 - 3 Months

  • 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

  • K

    Korea Advanced Institute of Science and Technology(KAIST)

    Math for AI beginner part 1 Linear Algebra

    Skills you'll gain: Linear Algebra, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Applied Mathematics, Deep Learning, Machine Learning

    4.4
    Rating, 4.4 out of 5 stars
    ·
    33 reviews

    Beginner · Course · 1 - 3 Months

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

  • Expressway to Data Science: Essential Math: University of Colorado Boulder
  • Foundations of Project Management: Google
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Industrial Optimization: Models & Linear Programming: Northeastern University
  • Introduction to Calculus: The University of Sydney
  • Differential Equations for Engineers: The Hong Kong University of Science and Technology
  • Theory of Angular Momentum: University of Colorado Boulder
  • Matlab and Simulink Basics : Starweaver
  • Introduction to Programming with MATLAB: Vanderbilt University
  • Regression Analysis - Fundamentals & Practical Applications: Corporate Finance Institute

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Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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