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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: Free Trial
      Free Trial
      U

      University of Colorado System

      Nonlinear Kalman Filters (and Parameter Estimation)

      Skills you'll gain: Matlab, Estimation, Numerical Analysis, Performance Tuning, Mathematical Modeling, Control Systems, Simulation and Simulation Software, Derivatives, System Implementation, Calculus, Computer Programming Tools

      Intermediate · Course · 1 - 4 Weeks

    • N

      Northwestern University

      현대 로봇공학, 강좌 1: 로봇 동작의 기초

      Skills you'll gain: Mathematical Modeling, Engineering, Mechanics, Automation, Virtual Environment, Simulation and Simulation Software, Matlab, Control Systems, Applied Mathematics, Linear Algebra, Computer Programming Tools, Differential Equations, Spatial Data Analysis

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      L

      L&T EduTech

      Solar Power Generation

      Skills you'll gain: Electric Power Systems, Simulation and Simulation Software, Energy and Utilities, Electrical Systems, Power Electronics, Semiconductors, Scalability, Electrical Equipment, Emerging Technologies, Technology Solutions, Innovation, Cost Estimation, Environment, Matlab

      Beginner · Course · 1 - 3 Months

    • N

      Northwestern University

      현대 로봇공학, 강좌 2: 로봇 기구학

      Skills you'll gain: Mechanics, Torque (Physics), Mathematical Modeling, Engineering Analysis, Engineering Calculations, Mechanical Engineering, Numerical Analysis, Applied Mathematics, Trigonometry, Control Systems, Linear Algebra, Spatial Analysis

      Intermediate · Course · 1 - 4 Weeks

    • I

      IIT Roorkee

      Foundations of Advanced Wireless Communication

      Skills you'll gain: Wireless Networks, Digital Communications, Telecommunications, Network Architecture, Emerging Technologies, Algorithms, System Design and Implementation, Performance Tuning, Estimation, Mathematical Modeling

      Intermediate · Course · 3 - 6 Months

    • N

      Northwestern University

      현대 로봇공학, 강좌 3: 로봇 동역학

      Skills you'll gain: Automation Engineering, Mathematical Modeling, Computer Programming Tools, Simulation and Simulation Software, Mechanical Engineering, Engineering Calculations, Software Development Tools, Numerical Analysis, Mechanics, Torque (Physics), Algorithms, Control Systems, Applied Mathematics, Differential Equations, Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • N

      Northwestern University

      현대 로봇공학, 강좌 4: 로봇 동작 계획 및 제어

      Skills you'll gain: Control Systems, Simulation and Simulation Software, Graph Theory, Mathematical Modeling, Artificial Intelligence, Computer Programming Tools, Mechanics, Algorithms, Virtual Environment, Applied Mathematics, Numerical Analysis, Differential Equations, Torque (Physics)

      Intermediate · Course · 1 - 4 Weeks

    • N

      Northwestern University

      현대 로봇공학, 강좌 5: 로봇 매니퓰레이션 및 차륜형 이동 로봇

      Skills you'll gain: Machine Controls, Automation Engineering, Mathematical Modeling, Torque (Physics), Mechanics, Control Systems, Mechanical Engineering, Engineering, Simulation and Simulation Software, Engineering Analysis, Applied Mathematics, Program Development, Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

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    In summary, here are 8 of our most popular matlab courses

    • Nonlinear Kalman Filters (and Parameter Estimation): University of Colorado System
    • 현대 로봇공학, 강좌 1: 로봇 동작의 기초: Northwestern University
    • Solar Power Generation: L&T EduTech
    • 현대 로봇공학, 강좌 2: 로봇 기구학: Northwestern University
    • Foundations of Advanced Wireless Communication: IIT Roorkee
    • 현대 로봇공학, 강좌 3: 로봇 동역학: Northwestern University
    • 현대 로봇공학, 강좌 4: 로봇 동작 계획 및 제어: Northwestern University
    • 현대 로봇공학, 강좌 5: 로봇 매니퓰레이션 및 차륜형 이동 로봇: 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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