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    • Matlab

    MATLAB Courses Online

    Learn MATLAB for numerical computing and data analysis. Understand how to use MATLAB for programming, visualization, and algorithm development.

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    Explore the MATLAB Course Catalog

    • IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, IBM Cloud, Keras (Neural Network Library), Cloud Applications, Deep Learning, Tensorflow, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Cloud Computing, Augmented Reality, Application Development, Computer Science, Machine Learning, Data Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • Status: Free
      Free

      Edge Impulse

      Introduction to Embedded Machine Learning

      Skills you'll gain: Applied Machine Learning, Embedded Systems, Data Processing, Machine Learning, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Deep Learning, Supervised Learning, Feature Engineering

      4.8
      Rating, 4.8 out of 5 stars
      ·
      718 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Università di Napoli Federico II

      Autonomous Vehicle Engineering

      Skills you'll gain: NoSQL, Apache Hadoop, Apache Hive, Big Data, Machine Controls, Simulation and Simulation Software, Database Systems, Artificial Intelligence, Mechanical Engineering, Computer Vision, Systems Architecture, Process Control, Distributed Computing, Simulations, Data Processing, Experimentation, Matlab, Technical Design, Vibrations, Global Positioning Systems

      4.3
      Rating, 4.3 out of 5 stars
      ·
      57 reviews

      Beginner · Specialization · 1 - 3 Months

    • L&T EduTech

      Fundamentals of Robotics & Industrial Automation

      Skills you'll gain: Automation, Hardware Troubleshooting, Human Machine Interfaces, Simulations, Manufacturing and Production, Industrial Engineering, Mechanical Design, Electronic Systems, Mechanical Engineering, Equipment Design, Internet Of Things, Matlab, Embedded Systems, Process Control, Systems Integration

      4.6
      Rating, 4.6 out of 5 stars
      ·
      60 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Northwestern University

      Modern Robotics, Course 2: Robot Kinematics

      Skills you'll gain: Mathematical Modeling, Engineering Calculations, Engineering Analysis, Mechanics, Simulation and Simulation Software, Virtual Environment, Torque (Physics), Linear Algebra, Trigonometry

      4.9
      Rating, 4.9 out of 5 stars
      ·
      295 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Coursera Project Network

      Python for Data Visualization:Matplotlib & Seaborn(Enhanced)

      Skills you'll gain: Matplotlib, Seaborn, Plot (Graphics), Scatter Plots, Histogram, Data Visualization, Data Visualization Software, Statistical Visualization

      4.6
      Rating, 4.6 out of 5 stars
      ·
      25 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • Status: New
      New

      University of Glasgow

      Fundamental MATLAB Programming for AI

      Skills you'll gain: Matlab, Data Manipulation, Engineering Calculations, Artificial Intelligence, Numerical Analysis, Data Cleansing, Programming Principles, Computer Programming, Machine Learning, Scripting, Data Structures, Plot (Graphics)

      Beginner · Course · 1 - 4 Weeks

    • MathWorks

      Introduction to Image Processing

      Skills you'll gain: Image Analysis, Matlab, Computer Vision, Spatial Data Analysis, Quantitative Research, Data Import/Export, Algorithms, Data Structures

      4.8
      Rating, 4.8 out of 5 stars
      ·
      169 reviews

      Beginner · Course · 1 - 4 Weeks

    • The Hong Kong University of Science and Technology

      Numerical Methods for Engineers

      Skills you'll gain: Matlab, Engineering Calculations, Numerical Analysis, Engineering Analysis, Linear Algebra, Differential Equations, Mathematical Modeling, Computational Thinking, Integral Calculus, Simulations, Scientific Visualization, Programming Principles, Algorithms, Debugging

      4.9
      Rating, 4.9 out of 5 stars
      ·
      378 reviews

      Intermediate · Course · 1 - 3 Months

    • Johns Hopkins University

      Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

      Skills you'll gain: Linear Algebra, Applied Mathematics, Algebra, Advanced Mathematics, Graph Theory, Geometry, Applied Machine Learning, Markov Model

      4.8
      Rating, 4.8 out of 5 stars
      ·
      56 reviews

      Mixed · Course · 1 - 3 Months

    • The Hong Kong University of Science and Technology

      Matrix Algebra for Engineers

      Skills you'll gain: Linear Algebra, Engineering Calculations, Algebra, Engineering Analysis, General Mathematics, Advanced Mathematics, Applied Mathematics

      4.9
      Rating, 4.9 out of 5 stars
      ·
      4.5K reviews

      Beginner · Course · 1 - 4 Weeks

    • The University of Sydney

      Introduction to Linear Algebra

      Skills you'll gain: Linear Algebra, Markov Model, Geometry, Arithmetic, Algebra, General Mathematics, Advanced Mathematics, Probability, Mathematics and Mathematical Modeling, Mathematical Theory & Analysis, Applied Mathematics, Statistical Methods, Engineering Analysis

      4.9
      Rating, 4.9 out of 5 stars
      ·
      28 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Introduction to Computer Vision and Image Processing: IBM
    • Introduction to Embedded Machine Learning: Edge Impulse
    • Autonomous Vehicle Engineering: Università di Napoli Federico II
    • Fundamentals of Robotics & Industrial Automation: L&T EduTech
    • Modern Robotics, Course 2: Robot Kinematics: Northwestern University
    • Python for Data Visualization:Matplotlib & Seaborn(Enhanced): Coursera Project Network
    • Fundamental MATLAB Programming for AI: University of Glasgow
    • Introduction to Image Processing: MathWorks
    • Numerical Methods for Engineers: The Hong Kong University of Science and Technology
    • Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors: Johns Hopkins 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)

    Frequently Asked Questions about Matlab

    MATLAB is a numerical computing environment and programming language developed by MathWorks. While it is most often used by engineers and scientists, it has evolved in ways that have caused more data scientists, statisticians, economists, and data analysts to use it for their work. Advanced MATLAB is typically used for applications that require linear algebra and numerical optimization.‎

    We recommend these courses for people with a strong foundation in introductory MATLAB® that wish to expand their skills for data science and machine learning problems. You may wish to use MATLAB to implement supervised and unsupervised machine learning models, or for more advanced concepts in robotics and probabilistic graphical models.‎

    According to Burning Glass, there were 60,000 job postings in the last 12 months requiring MATLAB as a skill. Some of the functional job titles that require this skill are Software Developer, Computer Systems Engineer, Business Intelligence Analyst, or Operations Research Analyst. Advanced MATLAB skills are very marketable and they can be a powerful addition to your resume.‎

    Before starting to learn MATLAB, you'll need to have a good understanding of linear algebra and matrix theory to take full advantage of MATLAB's features and understand the underlying principles used in the language. You should also understand the basics of object-oriented programming languages and have experience working with Simulink.‎

    If you are a data scientist or engineer—or striving to be one—learning MATLAB is likely right for you as it is extremely useful in data plotting, data analysis, other data functions, and designing modern systems and products. Learning MATLAB is also useful for research scholars and scientists who deal with advanced mathematical studies. Professionals in the fields of deep learning, machine learning, computational finance, or image and signal processing may also find that learning MATLAB is right for them.‎

    Many mathematical topics are related to MATLAB that you can study, including trigonometry, linear algebra, interpolation, differential equations, graphs, network algorithms, and computational geometry. Graphics topics like two- and three-dimensional plots, animation, and images are also related to MATLAB. You can learn more about programming to enhance your study of MATLAB as well as app-building and software development. You can also study other programming languages, such as Java, C, C++, PHP, Python, and ASP since MATLAB can easily interact with other programs written in these languages.‎

    Places that hire people with a background in MATLAB include science labs, research centers, technology companies, and educational institutions, among others. Major corporations that hire MATLAB developers and engineers who use MATLAB include Apple, Lockheed Martin, Northrop Grumman, Raytheon Technologies, McKean Defense, and Cirrus Logic.‎

    Online MATLAB courses offer a convenient and flexible way to enhance your knowledge or learn new MATLAB skills. Choose from a wide range of MATLAB courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in MATLAB, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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