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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: 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
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    M

    MathWorks

    Data Science Project: MATLAB for the Real World

    Skills you'll gain: Data Storytelling, Model Evaluation, Feature Engineering, Exploratory Data Analysis, Data Science, Machine Learning, Data Analysis, Data Preprocessing, Matlab, Technical Communication, Predictive Modeling, Data Manipulation, Data Import/Export

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
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    U

    University at Buffalo

    Computer Vision Basics

    Skills you'll gain: Computer Vision, Image Analysis, Computer Graphics, Color Theory, Digital Signal Processing, Applied Mathematics, Artificial Intelligence, Computer Programming, Matlab, Augmented Reality, 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
    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
    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
    ·
    171 reviews

    Beginner · 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, 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
    T

    The Hong Kong University of Science and Technology

    Numerical Methods for Engineers

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

    4.9
    Rating, 4.9 out of 5 stars
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    426 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    H

    Howard University

    Linear Algebra for Data Science Using Python

    Skills you'll gain: Data Wrangling, Linear Algebra, Regression Analysis, NumPy, Predictive Modeling, Dimensionality Reduction, Data Science, Data Visualization, Applied Mathematics, Data Preprocessing, Statistical Modeling, Jupyter, Data Analysis, Machine Learning Methods, Mathematical Modeling, Algebra, Exploratory Data Analysis, Python Programming, Model Evaluation, Statistical Analysis

    4.3
    Rating, 4.3 out of 5 stars
    ·
    33 reviews

    Beginner · Specialization · 3 - 6 Months

  • 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
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    2.3K reviews

    Intermediate · 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, Probability Distribution, Linear Algebra, Classification Algorithms, Regression Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 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

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Kalman Filter Boot Camp (and State Estimation)

    Skills you'll gain: Linear Algebra, Matlab, Statistical Modeling, Simulations, Statistical Analysis, Time Series Analysis and Forecasting, Probability & Statistics, Numerical Analysis, Forecasting

    4.9
    Rating, 4.9 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • MATLAB을 사용한 프로그래밍 소개: Vanderbilt University
  • Data Science Project: MATLAB for the Real World: MathWorks
  • Computer Vision Basics: University at Buffalo
  • Introduction to Deep Learning for Computer Vision: MathWorks
  • Linear Algebra: Linear Systems and Matrix Equations: Johns Hopkins University
  • Machine Learning for Computer Vision: MathWorks
  • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
  • Linear Algebra for Data Science Using Python: Howard University
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt

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Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
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Linear Algebra (10)
Linear Regression (9)
Numpy (9)

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