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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

    • D

      DeepLearning.AI

      النماذج المتعاقبة

      Skills you'll gain: Deep Learning, Natural Language Processing, Keras (Neural Network Library), Tensorflow, PyTorch (Machine Learning Library), Artificial Neural Networks, Applied Machine Learning, Artificial Intelligence, Machine Learning, Time Series Analysis and Forecasting, Algorithms

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Glasgow

      Machine Learning and its Applications

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

      Beginner · Course · 1 - 3 Months

    • Status: New
      New
      S

      Simplilearn

      Data Analytics with Python

      Skills you'll gain: Matplotlib, NumPy, Python Programming, Data Presentation, Pandas (Python Package), Data Analysis, Data Visualization Software, Scripting, Analytics, Numerical Analysis, Data Manipulation, Real Time Data, Data Processing, Programming Principles, Scripting Languages, Data Cleansing

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free
      I

      Instituto Tecnológico de Aeronáutica

      Controle a Tempo Discreto

      Skills you'll gain: Control Systems, Engineering Calculations, Automation Engineering, Simulation and Simulation Software, Computational Logic, Matlab, Process Control, Sampling (Statistics), Embedded Systems, Engineering Analysis, System Requirements, Electrical and Computer Engineering, Mathematical Modeling, System Design and Implementation, Digital Design, Performance Testing, Simulations, Differential Equations, Estimation, Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free
      N

      Northwestern University

      현대 로봇공학, 강좌 6: 캡스톤 프로젝트, 모바일 매니퓰레이션

      Skills you'll gain: Control Systems, Robotic Process Automation, Simulations, Record Keeping, Matlab, Computer Programming, Linear Algebra

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Gen AI - RAG Application Development using LlamaIndex

      Skills you'll gain: Large Language Modeling, Prompt Engineering, Generative AI Agents, Generative AI, Application Development, Data Storage Technologies, Query Languages, Natural Language Processing, Data Integration, Development Environment

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      U

      University of Glasgow

      Applied AI for Engineers and Scientists: Foundations

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

      Beginner · Specialization · 1 - 3 Months

    • C

      Coursera Project Network

      توقع حضور المواعيد الطبية باستخدام Python

      Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Processing, Artificial Intelligence, Predictive Modeling, Data Science, Jupyter, Machine Learning, Python Programming

      Intermediate · Guided Project · Less Than 2 Hours

    • L

      L&T EduTech

      Power System Stability

      Skills you'll gain: Control Systems, Electric Power Systems, Electrical Power, Three-Phase, High Voltage, Simulation and Simulation Software, Engineering Analysis, Low Voltage, Power Electronics, Electrical Engineering, Systems Analysis, Mathematical Modeling, Differential Equations

      4.9
      Rating, 4.9 out of 5 stars
      ·
      8 reviews

      Intermediate · Course · 1 - 4 Weeks

    • L

      L&T EduTech

      Load Flow Analysis

      Skills you'll gain: Electric Power Systems, Electrical Power, Systems Analysis, Electrical Engineering, Network Analysis, Numerical Analysis, Mathematical Modeling, Simulation and Simulation Software, Graph Theory

      4.3
      Rating, 4.3 out of 5 stars
      ·
      6 reviews

      Intermediate · Course · 1 - 4 Weeks

    • L

      L&T EduTech

      CPS solution for Industries

      Skills you'll gain: Embedded Systems, Embedded Software, Control Systems, Programmable Logic Controllers, Cyber Engineering, Internet Of Things, C (Programming Language), Automation, Computer Engineering, Electronics, Simulation and Simulation Software, Hydraulics, Integration Testing, Cloud Computing, Integrated Development Environments, Matlab, Development Environment

      Intermediate · Course · 1 - 4 Weeks

    • Status: New
      New
      P

      Packt

      Matrix Calculus for Data Science & Machine Learning

      Skills you'll gain: Applied Mathematics, NumPy, Calculus, Numerical Analysis, Advanced Mathematics, Linear Algebra, Data Science, Jupyter, Machine Learning Algorithms, Derivatives, Machine Learning, Algorithms

      Intermediate · Course · 1 - 3 Months

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

    • النماذج المتعاقبة: DeepLearning.AI
    • Machine Learning and its Applications: University of Glasgow
    • Data Analytics with Python: Simplilearn
    • Controle a Tempo Discreto: Instituto Tecnológico de Aeronáutica
    • 현대 로봇공학, 강좌 6: 캡스톤 프로젝트, 모바일 매니퓰레이션: Northwestern University
    • Gen AI - RAG Application Development using LlamaIndex: Packt
    • Applied AI for Engineers and Scientists: Foundations: University of Glasgow
    • توقع حضور المواعيد الطبية باستخدام Python: Coursera Project Network
    • Power System Stability: L&T EduTech
    • Load Flow Analysis: L&T EduTech

    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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