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  • Matlab

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.


More to explore:

Popular MATLAB Courses and Certifications


  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Principles of fMRI 2

    Skills you'll gain: Magnetic Resonance Imaging, Data Analysis, Analytical Skills, Image Analysis, Statistical Analysis, Advanced Analytics, Network Analysis, Psychology, Time Series Analysis and Forecasting, Matlab, Neurology, Statistical Modeling, Statistical Methods

    4.7
    Rating, 4.7 out of 5 stars
    ·
    249 reviews

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Principal Component Analysis with NumPy

    Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Statistical Visualization, Jupyter, Dimensionality Reduction, Data Science, Machine Learning Methods, Python Programming, Data Preprocessing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    298 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • 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
    ·
    24 reviews

    Beginner · 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, 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

  • Status: New
    New
    Status: Free Trial
    Free Trial
    B

    Birla Institute of Technology & Science, Pilani

    Linear Algebra for Machine Learning & AI

    Skills you'll gain: Linear Algebra, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Applied Mathematics, Data Analysis, Machine Learning, Dimensionality Reduction, Artificial Neural Networks, Data Manipulation

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Matplotlib: Python Data Visualization & Wrangling

    Skills you'll gain: Matplotlib, Data Storytelling, Data Presentation, Scientific Visualization, Visualization (Computer Graphics), Plot (Graphics), Data Visualization, Data Preprocessing, Statistical Visualization, Box Plots, E-Commerce, Business Analytics, Data Visualization Software, Scatter Plots, Histogram, Data Analysis, Exploratory Data Analysis, Pandas (Python Package), Image Quality, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    6 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Mastering Data Visualization with Matplotlib

    Skills you'll gain: Matplotlib, Data Storytelling, Data Presentation, Data Visualization, Plot (Graphics), Scientific Visualization, Data Visualization Software, Scatter Plots, Image Quality, NumPy, Histogram, Image Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Model Deployment, Anomaly Detection, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Deep Learning, Artificial Neural Networks, Applied Machine Learning, PyTorch (Machine Learning Library), Data Preprocessing, Classification Algorithms, Data Synthesis, Performance Tuning, Data Analysis, Network Architecture

    4.9
    Rating, 4.9 out of 5 stars
    ·
    33 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Glasgow

    Applied AI for Engineers and Scientists: Foundations

    Skills you'll gain: Data Preprocessing, Model Evaluation, Engineering Practices, Matlab, Engineering Calculations, Classification Algorithms, Engineering Analysis, Engineering, Artificial Intelligence and Machine Learning (AI/ML), AI Enablement, Applied Mathematics, Artificial Neural Networks

    5
    Rating, 5 out of 5 stars
    ·
    135 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    N

    Northwestern University

    Modern Robotics, Course 5: Robot Manipulation and Wheeled Mobile Robots

    Skills you'll gain: Robotics, Machine Controls, Automation Engineering, Control Systems, Mechanics, Mechanical Engineering, Mathematical Modeling, Torque (Physics), Applied Mathematics, Linear Algebra

    4.7
    Rating, 4.7 out of 5 stars
    ·
    95 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    L&T EduTech

    Design of Transmission Line: Modelling and Performance

    Skills you'll gain: Applied Mathematics, Mathematical Modeling, Matlab, High Voltage, Three-Phase, Electrical Engineering, electromagnetics, Simulation and Simulation Software, Electric Power Systems, Electrical Power, Environmental Science, Environmental Engineering, Design

    4.6
    Rating, 4.6 out of 5 stars
    ·
    36 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, Linear Algebra, Probability Distribution, Classification Algorithms, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

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

  • Principles of fMRI 2: Johns Hopkins University
  • Principal Component Analysis with NumPy: Coursera
  • Introduction to Machine Learning with Python: Arizona State University
  • Mathematics for Machine Learning: PCA: Imperial College London
  • Linear Algebra for Machine Learning & AI: Birla Institute of Technology & Science, Pilani
  • Matplotlib: Python Data Visualization & Wrangling: EDUCBA
  • Mastering Data Visualization with Matplotlib: EDUCBA
  • Deep Learning for Computer Vision: MathWorks
  • Applied AI for Engineers and Scientists: Foundations: University of Glasgow
  • Modern Robotics, Course 5: Robot Manipulation and Wheeled Mobile Robots : Northwestern University

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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