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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

    • Coursera Project Network

      Linear Regression with Python

      Skills you'll gain: Regression Analysis, NumPy, Applied Machine Learning, Supervised Learning, Machine Learning Algorithms, Machine Learning, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      428 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free

      Northwestern University

      Fundamentals of Digital Image and Video Processing

      Skills you'll gain: Image Analysis, Digital Communications, Computer Vision, Visualization (Computer Graphics), Computer Graphics, Linear Algebra, Matlab, Color Theory, Applied Mathematics, Algorithms, Statistical Process Controls, Machine Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Mixed · Course · 1 - 3 Months

    • New York University

      Fundamentals of Machine Learning in Finance

      Skills you'll gain: Supervised Learning, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Machine Learning Algorithms, Decision Tree Learning, Machine Learning, Predictive Modeling, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Correlation Analysis, Finance, Exploratory Data Analysis, Python Programming, Time Series Analysis and Forecasting, Artificial Neural Networks

      3.7
      Rating, 3.7 out of 5 stars
      ·
      338 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of Pennsylvania

      Data Analysis Using Python

      Skills you'll gain: Matplotlib, Data Analysis, Pandas (Python Package), Data Science, Data Cleansing, Pivot Tables And Charts, Data Visualization Software, Data Manipulation, Scatter Plots, NumPy, Data Quality, Jupyter, Data Import/Export, Histogram, Python Programming, Programming Principles

      4.5
      Rating, 4.5 out of 5 stars
      ·
      416 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free
      Free

      University of Minnesota

      Fundamentals of Fluid Power

      Skills you'll gain: Hydraulics, Mechanical Engineering, Schematic Diagrams, Simulation and Simulation Software, Engineering, Simulations, Engineering Analysis, Engineering Calculations, Mechanics, Mathematical Modeling, Systems Of Measurement, Matlab, Physics

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.3K reviews

      Mixed · Course · 1 - 3 Months

    • University of Michigan

      Llama for Python Programmers

      Skills you'll gain: Application Development, Generative AI, Python Programming, Natural Language Processing, Computer Programming, Artificial Intelligence and Machine Learning (AI/ML), Open Source Technology, Artificial Intelligence

      4.7
      Rating, 4.7 out of 5 stars
      ·
      15 reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free
      Free

      Duke University

      Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital

      Skills you'll gain: Image Analysis, Computer Vision, Digital Communications, Computer Graphics, Visualization (Computer Graphics), Radiology, Data Processing, Applied Mathematics, Spatial Analysis, Advanced Mathematics, Linear Algebra, Matlab, Mathematical Modeling, Algorithms, Histogram, Probability Distribution

      4.7
      Rating, 4.7 out of 5 stars
      ·
      1.1K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free

      University of Minnesota

      Matrix Methods

      Skills you'll gain: Dimensionality Reduction, NumPy, Linear Algebra, Machine Learning Methods, Data Analysis, Regression Analysis, Mathematical Modeling, Applied Mathematics, Solution Design, Applied Machine Learning, Data Manipulation, Exploratory Data Analysis, Algorithms, Python Programming

      4.1
      Rating, 4.1 out of 5 stars
      ·
      243 reviews

      Intermediate · Course · 1 - 3 Months

    • University at Buffalo

      Data Analysis and Visualization

      Skills you'll gain: Data Storytelling, Statistical Process Controls, Data Visualization Software, Data-Driven Decision-Making, Business Analytics, Tableau Software, Data Analysis, Minitab, Data Cleansing, Statistical Analysis, Business Process, Process Improvement, Power BI, Project Planning

      4.7
      Rating, 4.7 out of 5 stars
      ·
      159 reviews

      Beginner · Course · 1 - 4 Weeks

    • Coursera Project Network

      Principal Component Analysis with NumPy

      Skills you'll gain: Exploratory Data Analysis, NumPy, Data Visualization, Data Analysis, Seaborn, Matplotlib, Cloud Computing, Jupyter, Dimensionality Reduction, Unsupervised Learning, Applied Machine Learning, Python Programming, Linear Algebra

      4.6
      Rating, 4.6 out of 5 stars
      ·
      295 reviews

      Intermediate · Guided Project · Less Than 2 Hours

    • Status: Free
      Free

      University of Washington

      Computational Neuroscience

      Skills you'll gain: Machine Learning Methods, Supervised Learning, Network Model, Matlab, Machine Learning Algorithms, Artificial Neural Networks, Computer Vision, Reinforcement Learning, Computational Thinking, Mathematical Modeling, Linear Algebra, Data Analysis, Information Architecture, Probability & Statistics

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.1K reviews

      Beginner · Course · 1 - 3 Months

    • The University of Chicago

      Machine Learning: Concepts and Applications

      Skills you'll gain: Keras (Neural Network Library), Unsupervised Learning, Machine Learning Algorithms, Deep Learning, Machine Learning, Decision Tree Learning, Applied Machine Learning, Scikit Learn (Machine Learning Library), Supervised Learning, Regression Analysis, Random Forest Algorithm, Dimensionality Reduction, Statistical Methods, Tensorflow, Feature Engineering, Artificial Neural Networks, Pandas (Python Package)

      3.9
      Rating, 3.9 out of 5 stars
      ·
      22 reviews

      Intermediate · Course · 1 - 3 Months

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

    • Linear Regression with Python: Coursera Project Network
    • Fundamentals of Digital Image and Video Processing: Northwestern University
    • Fundamentals of Machine Learning in Finance: New York University
    • Data Analysis Using Python: University of Pennsylvania
    • Fundamentals of Fluid Power: University of Minnesota
    • Llama for Python Programmers: University of Michigan
    • Image and Video Processing: From Mars to Hollywood with a Stop at the Hospital: Duke University
    • Matrix Methods: University of Minnesota
    • Data Analysis and Visualization: University at Buffalo
    • Principal Component Analysis with NumPy: Coursera Project Network

    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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