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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

    • N

      Northwestern University

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

      Skills you'll gain: Mathematics, Planning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      82 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Battery State-of-Health (SOH) Estimation

      Skills you'll gain: Estimation, Probability & Statistics, General Statistics, Algorithms, Mathematics, Mathematical Theory & Analysis, Regression

      4.7
      Rating, 4.7 out of 5 stars
      ·
      157 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google Cloud

      Introduction to Convolutions with TensorFlow

      Skills you'll gain: Cloud Computing, Google Cloud Platform

      Intermediate · Project · Less Than 2 Hours

    • E

      Edureka

      Python for Data Visualization and Analysis

      Skills you'll gain: Data Visualization, Exploratory Data Analysis

      Intermediate · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      النماذج المتعاقبة

      Skills you'll gain: Algebra, Calculus, Mathematics

      Intermediate · Course · 1 - 4 Weeks

    • M

      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

    • Placeholder
      P

      Packt

      Fundamentals of AI, Machine Learning, and Python Programming

      Skills you'll gain: Deep Learning, Machine Learning, Python Programming, Tensorflow

      Beginner · Course · 3 - 6 Months

    • Placeholder
      L

      L&T EduTech

      CPS Design for Mechatronics, Healthcare, EV & Robotics

      Skills you'll gain: Embedded Systems, Machine Controls, Electronic Systems, Automation, Power Electronics, Engineering, Electronic Components, Basic Electrical Systems, Mechanical Design, Mechanical Engineering, Hydraulics, Thermal Management, Matlab, Real Time Data

      Intermediate · Course · 1 - 4 Weeks

    • Placeholder
      P

      Packt

      Computer Vision: Face Recognition Quick Starter in Python

      Skills you'll gain: Computer Vision

      Beginner · Course · 3 - 6 Months

    • Placeholder
      Status: Free
      Free
      U

      University of Pennsylvania

      로봇공학: 캡스톤 디자인

      Mixed · Course · 1 - 3 Months

    • Placeholder
      C

      Coursera Project Network

      توقع حضور المواعيد الطبية باستخدام Python

      Skills you'll gain: Data Analysis, Data Visualization, Feature Engineering, Machine Learning

      Intermediate · Guided Project · Less Than 2 Hours

    • Placeholder
      U

      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

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    1…10111213

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

    • Modern Robotics, Course 5: Robot Manipulation and Wheeled Mobile Robots : Northwestern University
    • Battery State-of-Health (SOH) Estimation: University of Colorado Boulder
    • Introduction to Convolutions with TensorFlow: Google Cloud
    • Python for Data Visualization and Analysis: Edureka
    • النماذج المتعاقبة: DeepLearning.AI
    • Designing and Simulating Physical Models: MathWorks
    • Fundamentals of AI, Machine Learning, and Python Programming: Packt
    • CPS Design for Mechatronics, Healthcare, EV & Robotics: L&T EduTech
    • Computer Vision: Face Recognition Quick Starter in Python: Packt
    • 로봇공학: 캡스톤 디자인: University of Pennsylvania

    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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