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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
    N

    Northwestern University

    Modern Robotics, Course 2: Robot Kinematics

    Skills you'll gain: Robotics, Mathematical Modeling, Mathematical Software, Engineering Calculations, Applied Mathematics, Engineering Analysis, Mechanics, Simulation and Simulation Software, Engineering, Virtual Environment, Torque (Physics), Numerical Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    298 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    P

    Pontificia Universidad Católica de Chile

    Introducción a la visualización de datos

    Skills you'll gain: Data Visualization, Data Visualization Software, Data Presentation, Data Literacy, Human Factors, Color Theory, Design Elements And Principles, Graphing

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    Duke University

    Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

    Skills you'll gain: Digital Signal Processing, Image Analysis, Computer Vision, Computer Graphics, Visualization (Computer Graphics), Medical Imaging, Spatial Analysis, Linear Algebra, Matlab, Mathematical Modeling, Histogram

    4.7
    Rating, 4.7 out of 5 stars
    ·
    1.1K reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Introduction to Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    13K reviews

    Beginner · Course · 1 - 3 Months

  • E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Data Preprocessing, Embedded Systems, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Model Deployment, Convolutional Neural Networks, Data Analysis, Feature Engineering, Computer Programming, Digital Signal Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    751 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Machine Learning for Computer Vision

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

    4.8
    Rating, 4.8 out of 5 stars
    ·
    23 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Automating Image Processing

    Skills you'll gain: Image Analysis, Matlab, Computer Vision, Traffic Flow Optimization, Automation, Anomaly Detection, Data Preprocessing, Data Store

    4.7
    Rating, 4.7 out of 5 stars
    ·
    27 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    NumPy, Matplotlib & Pandas – Data Science Prerequisites

    Skills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Linear Algebra, Probability Distribution, Classification Algorithms, Regression Analysis

    4.4
    Rating, 4.4 out of 5 stars
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    8 reviews

    Beginner · Course · 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
    ·
    76 reviews

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Machine Learning and its Applications

    Skills you'll gain: Data Preprocessing, Model Evaluation, Classification Algorithms, Artificial Intelligence and Machine Learning (AI/ML)

    5
    Rating, 5 out of 5 stars
    ·
    47 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    Imperial College London

    Mathematics for Machine Learning: PCA

    Skills you'll gain: Dimensionality Reduction, NumPy, Data Preprocessing, Unsupervised Learning, Feature Engineering, Jupyter, Statistics, Linear Algebra, Python Programming, Advanced Mathematics, Calculus

    4
    Rating, 4 out of 5 stars
    ·
    3.2K reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Modern Robotics, Course 2: Robot Kinematics: Northwestern University
  • Introducción a la visualización de datos: Pontificia Universidad Católica de Chile
  • Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital: Duke University
  • Introduction to Deep Learning for Computer Vision: MathWorks
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Introduction to Embedded Machine Learning: Edge Impulse
  • Machine Learning for Computer Vision: MathWorks
  • Automating Image Processing: MathWorks
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
  • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins University

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