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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

    • Status: New
      New

      University of Colorado Boulder

      BiteSize Python: NumPy and Pandas

      Skills you'll gain: Pandas (Python Package), NumPy, Data Structures, Data Import/Export, Data Manipulation, Data Cleansing, Statistical Methods, Numerical Analysis, Data Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New

      University of Glasgow

      Machine Learning and its Applications

      Skills you'll gain: Artificial Neural Networks, Matlab, Supervised Learning, Applied Machine Learning, Machine Learning, Machine Learning Algorithms, Data Cleansing, Feature Engineering, Data Transformation, Classification And Regression Tree (CART), Predictive Modeling, Artificial Intelligence, Regression Analysis

      Beginner · Course · 1 - 3 Months

    • Status: New
      New

      University of Glasgow

      Applied AI for Engineers and Scientists: Foundations

      Skills you'll gain: Artificial Neural Networks, Matlab, Supervised Learning, Engineering Practices, Applied Machine Learning, Machine Learning, Data Manipulation, Machine Learning Algorithms, Engineering Calculations, Artificial Intelligence, Feature Engineering, Data Transformation, Classification And Regression Tree (CART), Predictive Modeling, Numerical Analysis, Artificial Intelligence and Machine Learning (AI/ML), Mathematical Software, Data Cleansing, Programming Principles, Computer Programming

      Beginner · Specialization · 1 - 3 Months

    • Status: New
      New

      Edureka

      Applied Machine Learning with Python

      Skills you'll gain: Unsupervised Learning, Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Data-Driven Decision-Making, Regression Analysis, Machine Learning Methods, Machine Learning, Decision Tree Learning, Data Mining, Python Programming, Analytics, Statistical Modeling, Predictive Modeling, Statistical Methods, Classification And Regression Tree (CART), Statistical Analysis, Random Forest Algorithm, Feature Engineering

      Intermediate · Course · 1 - 4 Weeks

    • Google Cloud

      Introduction to Convolutions with TensorFlow

      Skills you'll gain: Tensorflow, Image Analysis, Computer Vision, Data Processing, Feature Engineering, Deep Learning

      Intermediate · Project · Less Than 2 Hours

    • Status: New
      New

      MathWorks

      Designing and Simulating Physical Models

      Skills you'll gain: Systems Integration, Engineering Design Process, Simulation and Simulation Software, Mathematical Modeling, Engineering Analysis, Matlab, Engineering Software, Engineering, Mechanical Engineering, Electrical and Computer Engineering

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Institut Mines-Télécom

      Traitement d'images : analyse fréquentielle et multi-échelle

      Skills you'll gain: Image Analysis, Computer Vision, Data Processing, Advanced Mathematics, NumPy, Spatial Analysis, Python Programming, Histogram

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New

      Packt

      Python for Data Analysis and Automation

      Skills you'll gain: Automation, Python Programming, Programming Principles, Scripting, Debugging, Spreadsheet Software, Data Structures, Data Manipulation, Computer Programming, Software Installation, File Management

      Beginner · Course · 3 - 6 Months

    • Status: New
      New

      University of Colorado Boulder

      BiteSize Python: Data Visualization

      Skills you'll gain: Matplotlib, Plotly, Seaborn, Data Visualization Software, Statistical Visualization, Interactive Data Visualization, Data Presentation, Data Storytelling, Scatter Plots, Box Plots, Heat Maps, Histogram, Data Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      Northwestern University

      현대 로봇공학, 강좌 6: 캡스톤 프로젝트, 모바일 매니퓰레이션

      Skills you'll gain: Simulation and Simulation Software, Robotic Process Automation, Program Development, Mathematical Software, Software Development, Process Control, Virtual Environment, Simulations, Record Keeping, Matlab, Mechanics, Engineering, Mathematical Modeling, Engineering Analysis

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Instituto Tecnológico de Aeronáutica

      Controle a Tempo Discreto

      Skills you'll gain: Matlab, Numerical Analysis, Mathematical Modeling, Applied Mathematics, System Design and Implementation, Digital Design, Performance Testing, Simulations, Differential Equations, Systems Engineering, Computer Systems, Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      University of Pennsylvania

      로봇공학: 캡스톤 디자인

      Skills you'll gain: Robotic Process Automation, Automation, Artificial Intelligence, Matlab, Simulation and Simulation Software, Control Panels, Engineering, Computer Vision, Mathematical Modeling, Embedded Systems, Python Programming, Algorithms, Estimation, Differential Equations, Linear Algebra

      Mixed · Course · 1 - 3 Months

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

    • BiteSize Python: NumPy and Pandas: University of Colorado Boulder
    • Machine Learning and its Applications: University of Glasgow
    • Applied AI for Engineers and Scientists: Foundations: University of Glasgow
    • Applied Machine Learning with Python: Edureka
    • Introduction to Convolutions with TensorFlow: Google Cloud
    • Designing and Simulating Physical Models: MathWorks
    • Traitement d'images : analyse fréquentielle et multi-échelle: Institut Mines-Télécom
    • Python for Data Analysis and Automation: Packt
    • BiteSize Python: Data Visualization: University of Colorado Boulder
    • 현대 로봇공학, 강좌 6: 캡스톤 프로젝트, 모바일 매니퓰레이션: 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)

    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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