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MATLAB Courses

Courses in MATLAB often teach numerical analysis, data visualization, algorithm development, and simulation techniques. You can build skills in matrix manipulation, function creation, and data processing, that support engineering and scientific applications. Many courses also introduce tools like Simulink for modeling and simulation, as well as various toolboxes that enhance MATLAB's capabilities, allowing you to apply your skills in fields such as robotics, finance, and artificial intelligence.


Popular MATLAB Courses and Certifications


  • Status: Free Trial
    Free Trial
    E

    EDUCBA

    Octave for Machine Learning: Data Analysis Mastery

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Scalability, Text Mining, Statistical Analysis, Time Series Analysis and Forecasting, Programming Principles, Data Visualization, Descriptive Statistics, Mathematical Software, File I/O, Software Installation, Numerical Analysis, Mathematical Modeling, Predictive Modeling, Python Programming, Data Analysis

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

    Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Geometry, Data Transformation, Applied Machine Learning, Dimensionality Reduction, Markov Model, Probability

    4.8
    Rating, 4.8 out of 5 stars
    ·
    77 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Machine Learning for Computer Vision

    Skills you'll gain: Computer Vision, Model Evaluation, Image Analysis, Matlab, Convolutional Neural Networks, Data Preprocessing, Machine Learning, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Visualization (Computer Graphics), Deep Learning

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Linear Algebra: Linear Systems and Matrix Equations

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

    4.7
    Rating, 4.7 out of 5 stars
    ·
    173 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    V

    Vanderbilt University

    MATLAB을 사용한 프로그래밍 소개

    Skills you'll gain: Programming Principles, File I/O, Computer Programming, Matlab, Debugging, Integrated Development Environments, Linear Algebra, Software Development Tools, Control Systems, Mathematical Software, Computer Science, User Interface (UI), Data Import/Export, Data Structures

    5
    Rating, 5 out of 5 stars
    ·
    6 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    Northwestern University

    Modern Robotics, Course 1: Foundations of Robot Motion

    Skills you'll gain: Robotics, Engineering, Mechanics, Mathematical Modeling, Simulation and Simulation Software, Matlab, Computer Programming Tools, Physics, Angular

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1K reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    A

    Arizona State University

    Introduction to Machine Learning with Python

    Skills you'll gain: Supervised Learning, Unsupervised Learning, Generative Adversarial Networks (GANs), Deep Learning, Image Analysis, Machine Learning Algorithms, Applied Machine Learning, Python Programming, Machine Learning, Artificial Neural Networks, Model Evaluation, Data Processing, Classification Algorithms, Computer Vision, Predictive Modeling, Computer Programming, Regression Analysis

    3.6
    Rating, 3.6 out of 5 stars
    ·
    25 reviews

    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, NumPy, Dimensionality Reduction, Data Preprocessing, Machine Learning Methods, Advanced Mathematics, Data Manipulation, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming, Algebra

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

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Calculus for Machine Learning and Data Science

    Skills you'll gain: Applied Mathematics, Calculus, Numerical Analysis, Mathematical Modeling, Machine Learning, Python Programming, Artificial Neural Networks, Deep Learning, Visualization (Computer Graphics), Derivatives

    4.8
    Rating, 4.8 out of 5 stars
    ·
    953 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Icahn School of Medicine at Mount Sinai

    Systems Biology and Biotechnology

    Skills you'll gain: Matlab, Bioinformatics, Quantitative Research, Unsupervised Learning, Data Synthesis, Research, Mathematical Modeling, Molecular Biology, Pharmacology, Science and Research, Cell Biology, Biotechnology, Biomedical Technology, Scientific Methods, Physiology, Differential Equations, Computational Logic, Biochemistry, Network Analysis, Biology

    4.4
    Rating, 4.4 out of 5 stars
    ·
    989 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Multivariate Calculus

    Skills you'll gain: Regression Analysis, Calculus, Advanced Mathematics, Machine Learning Algorithms, Linear Algebra, Artificial Neural Networks, Mathematical Modeling, Python Programming, Derivatives

    4.7
    Rating, 4.7 out of 5 stars
    ·
    5.8K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Preview
    Preview
    U

    University of Washington

    Computational Neuroscience

    Skills you'll gain: Network Model, Supervised Learning, Machine Learning Algorithms, Artificial Neural Networks, Reinforcement Learning, Matlab, Mathematical Modeling, Computational Thinking, Recurrent Neural Networks (RNNs), Applied Mathematics, Physiology, Biology, Linear Algebra, Differential Equations, Probability & Statistics

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.1K reviews

    Beginner · Course · 1 - 3 Months

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

  • Octave for Machine Learning: Data Analysis Mastery: EDUCBA
  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University
  • Machine Learning for Computer Vision: MathWorks
  • Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
  • MATLAB을 사용한 프로그래밍 소개: Vanderbilt University
  • Modern Robotics, Course 1: Foundations of Robot Motion: Northwestern University
  • Introduction to Machine Learning with Python: Arizona State University
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Calculus for Machine Learning and Data Science: DeepLearning.AI
  • Systems Biology and Biotechnology: Icahn School of Medicine at Mount Sinai

Skills you can learn in Machine Learning

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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