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.

What jobs use MATLAB?

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.

What skills or experience do I need to already have, before starting to learn MATLAB?

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.

How do I know if learning MATLAB is right for me?

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.

What topics can I study that are related to MATLAB?

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.

What types of places hire people with a background in MATLAB?

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.

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Vanderbilt University
MATLAB Programming for Engineers and Scientists
Compétences que vous acquerrez : Algorithms, Computer Graphic Techniques, Computer Graphics, Computer Program, Computer Programming, Computer Vision, Data Analysis, Data Analysis Software, Data Visualization, Dimensionality Reduction, General Statistics, Image Processing, Leadership and Management, Linear Algebra, Machine Learning, Mathematics, Plot (Graphics), Probability & Statistics, Programming Principles, Regression, Theoretical Computer Science
4.8
(16.3k avis)
Beginner · Specialization
MathWorks
Practical Data Science with MATLAB
Compétences que vous acquerrez : Analysis, Applied Machine Learning, Business Analysis, Correlation And Dependence, Data Analysis, Data Analysis Software, Data Management, Data Visualization, Exploratory Data Analysis, Extract, Transform, Load, Feature Engineering, General Statistics, Linear Algebra, Machine Learning, Machine Learning Algorithms, Mathematics, Plot (Graphics), Probability & Statistics, Probability Distribution, Statistical Analysis, Statistical Visualization, Web Development
4.7
(922 avis)
Beginner · Specialization
Gratuit
University of Washington
Computational Neuroscience
Compétences que vous acquerrez : Reinforcement Learning, Business Psychology, Entrepreneurship, Data Analysis, Data Analysis Software, Communication, Computer Programming, Mathematics, Computer Networking, Matlab, Statistical Programming, Machine Learning, Linear Algebra, Deep Learning, Modeling, Machine Learning Algorithms, Artificial Neural Networks, Neuroscience, Network Model, Python Programming, General Statistics, Probability & Statistics
4.6
(938 avis)
Beginner · Course
University of Pennsylvania
Robotics
Compétences que vous acquerrez : Algorithms, Applied Machine Learning, Bioinformatics, Computer Programming, Computer Vision, Data Analysis, Data Analysis Software, Entrepreneurship, General Statistics, Geometry, Leadership and Management, Linear Algebra, Machine Learning, Mathematics, Planning, Probability & Statistics, Supply Chain and Logistics, Theoretical Computer Science
4.4
(3.7k avis)
Beginner · Specialization
Vanderbilt University
Introduction to Data, Signal, and Image Analysis with MATLAB
Compétences que vous acquerrez : Image Processing, Analysis, Plot (Graphics), Data Analysis Software, Process, Data Visualization, Machine Learning, Data Analysis, Probability & Statistics, Matlab, Algorithms, Mathematics, Computer Graphics, Regression, Linear Algebra, General Statistics, Computer Graphic Techniques, Computer Vision, Dimensionality Reduction, Theoretical Computer Science
4.8
(139 avis)
Intermediate · Course
Gratuit

Recherches liées à matlab

matlab programming for engineers and scientists

matlab을 사용한 프로그래밍 소개

mastering programming with matlab

data science project: matlab for the real world

introduction to programming with matlab

practical data science with matlab

exploratory data analysis with matlab

predictive modeling and machine learning with matlab

En résumé, voici 10 de nos cours matlab les plus populaires

MATLAB Programming for Engineers and Scientists: Vanderbilt University
Introduction to Programming with MATLAB: Vanderbilt University
Practical Data Science with MATLAB: MathWorks
Image Processing for Engineering and Science: MathWorks
Computational Neuroscience: University of Washington
Mastering Programming with MATLAB: Vanderbilt University
Robotics: University of Pennsylvania
Introduction to Data, Signal, and Image Analysis with MATLAB: Vanderbilt University
MATLAB을 사용한 프로그래밍 소개: Vanderbilt University
Mathematics for Engineers: The Hong Kong University of Science and Technology

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Questions fréquentes sur Matlab

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.‎

Le contenu de cette FAQ a été mis à disposition à des fins d'information uniquement. Il est conseillé aux étudiants d'effectuer des recherches supplémentaires afin de s'assurer que les cours et autres qualifications suivis correspondent à leurs objectifs personnels, professionnels et financiers.