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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

      New York University

      Guided Tour of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Applied Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Financial Services, Finance, Tensorflow, Jupyter, Reinforcement Learning

      3.8
      Rating, 3.8 out of 5 stars
      ·
      679 reviews

      Intermediate · Course · 1 - 4 Weeks

    • N

      Northwestern University

      Modern Robotics, Course 4: Robot Motion Planning and Control

      Skills you'll gain: Control Systems, Artificial Intelligence, Automation, Graph Theory, Algorithms, Virtual Environment, Simulation and Simulation Software, Mathematical Modeling, Data Structures, Linear Algebra

      4.9
      Rating, 4.9 out of 5 stars
      ·
      113 reviews

      Intermediate · Course · 1 - 4 Weeks

    • H

      Howard University

      Fundamental Linear Algebra Concepts with Python

      Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Numerical Analysis, Algebra, Python Programming, Data Manipulation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      15 reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Plots Creation using Matplotlib Python

      Skills you'll gain: Matplotlib, Box Plots, Plot (Graphics), Seaborn, Data Visualization Software, Pandas (Python Package), Scatter Plots, Data Presentation, Data Import/Export, Histogram, Python Programming, Data Manipulation, Data Structures

      3.9
      Rating, 3.9 out of 5 stars
      ·
      9 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • P

      Packt

      Python for Finance: Investment Fundamentals & Data Analytics

      Skills you'll gain: Portfolio Management, Capital Budgeting, Financial Modeling, Regression Analysis, Financial Analysis, Investment Management, Risk Analysis, Trend Analysis, Statistical Analysis, Financial Forecasting, Object Oriented Programming (OOP), Python Programming, Simulations, Jupyter, Data Manipulation

      Intermediate · Course · 3 - 6 Months

    • N

      Northwestern University

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

      Skills you'll gain: Machine Controls, Control Systems, Mechanics, Automation, Mathematical Modeling, Torque (Physics), Engineering Analysis, Linear Algebra, Estimation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      93 reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google Cloud

      Learning TensorFlow: the Hello World of Machine Learning

      Skills you'll gain: Tensorflow, Google Cloud Platform, Scripting, Artificial Neural Networks, Machine Learning, Deep Learning, Development Environment

      4
      Rating, 4 out of 5 stars
      ·
      15 reviews

      Beginner · Project · Less Than 2 Hours

    • N

      Northwestern University

      Modern Robotics, Course 6: Capstone Project, Mobile Manipulation

      Skills you'll gain: Control Systems, Simulation and Simulation Software, Robotic Process Automation, Matlab, Mechanics, Mathematical Modeling, Engineering Calculations

      4.9
      Rating, 4.9 out of 5 stars
      ·
      56 reviews

      Intermediate · Course · 1 - 4 Weeks

    • U

      University of Colorado Boulder

      Battery Pack Balancing and Power Estimation

      Skills you'll gain: Power Electronics, Electrical Engineering, Electrical Power, Estimation, Electronic Systems, Simulations, Mathematical Modeling, Matlab, Algorithms

      4.9
      Rating, 4.9 out of 5 stars
      ·
      103 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Battery State-of-Charge (SOC) Estimation

      Skills you'll gain: Estimation, Matlab, Simulations, Numerical Analysis, Anomaly Detection, Probability, Performance Tuning, Data Validation, Linear Algebra

      4.8
      Rating, 4.8 out of 5 stars
      ·
      253 reviews

      Intermediate · Course · 1 - 3 Months

    • U

      University of Colorado Boulder

      Equivalent Circuit Cell Model Simulation

      Skills you'll gain: Simulations, Mathematical Modeling, Electrical Engineering, Electronic Systems, Power Electronics, Matlab, Electrical Systems, Engineering Calculations, Laboratory Testing, Computational Logic, Basic Electrical Systems, Applied Mathematics, Data Analysis Software

      4.7
      Rating, 4.7 out of 5 stars
      ·
      547 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free
      U

      University of Colorado Boulder

      Magnetics for Power Electronic Converters

      Skills you'll gain: Power Electronics, Electrical Engineering, Electronic Systems, Electronic Components, Mathematical Modeling, Engineering Analysis, Technical Design, Engineering Design Process, Engineering Calculations, Matlab

      4.8
      Rating, 4.8 out of 5 stars
      ·
      150 reviews

      Intermediate · Course · 1 - 4 Weeks

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

    • Guided Tour of Machine Learning in Finance: New York University
    • Modern Robotics, Course 4: Robot Motion Planning and Control: Northwestern University
    • Fundamental Linear Algebra Concepts with Python: Howard University
    • Plots Creation using Matplotlib Python: Coursera Project Network
    • Python for Finance: Investment Fundamentals & Data Analytics: Packt
    • Modern Robotics, Course 5: Robot Manipulation and Wheeled Mobile Robots : Northwestern University
    • Learning TensorFlow: the Hello World of Machine Learning: Google Cloud
    • Modern Robotics, Course 6: Capstone Project, Mobile Manipulation: Northwestern University
    • Battery Pack Balancing and Power Estimation: University of Colorado Boulder
    • Battery State-of-Charge (SOC) Estimation: University of Colorado Boulder

    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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