In this article, you can find online Matlab courses.
MATLAB (an abbreviation of “MATrix LABoratory”) is a proprietary multi-paradigm programming language and numeric computing environment developed by MathWorks. MATLAB allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages.
Although MATLAB is intended primarily for numeric computing, an optional toolbox uses the MuPAD symbolic engine allowing access to symbolic computing abilities. An additional package, Simulink, adds graphical multi-domain simulation and model-based design for dynamic and embedded systems.
Below we present 10 online Matlab courses for all levels.
Step by Step Guide to Design Nano Devices and Sensors
Milad Zoghi via Udemy
This course is all about how to design nano–scale systems like super tiny devices and sensors at the atomic scale. If you here, then most probably nanotechnology and its super exciting potentials has attracted your attention and you want to know more, orrr, you want to actually do more. If you want to be part of future technology and industry, let me tell you that you are not alone. Well, there are some introductory courses, but no one gives you the solution and confidence to start designing your own project and research. You may want to intake official syllabuses or programs, then you have to deal with crazy theories and thousands of sophisticated formulas for years and yet have no clue how to design a system.
Exploratory Data Analysis with MATLAB (FREE)
Brandon Armstrong via Coursera
In this course, you will learn to think like a data scientist and ask questions of your data. You will use interactive features in MATLAB to extract subsets of data and to compute statistics on groups of related data. You will learn to use MATLAB to automatically generate code so you can learn syntax as you explore. You will also use interactive documents, called live scripts, to capture the steps of your analysis, communicate the results, and provide interactive controls allowing others to experiment by selecting groups of data. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background is required.
Neural Networks With MATLAB: Programming For Beginners
Karthik K via Udemy
This course provides a comprehensive introduction to the neural network for the data fitting problems using MATLAB. Attendees will learn to construct, train, and simulate different kinds of neural networks. A set of practical problems are solved in this course. At the end of this course, you will be able to solve the Neural Network problems using the MATLAB – Neural Network Toolbox. The MATLAB scripts and functions included in the class are also available for download. Happy learning.
MATLAB Graphical User Interface with the MATLAB GUIDE tool
Tod Vachev via Udemy
Often times people judge a book by the cover. And for sure the code that you wrote works flawlessly, but does it have a good looking cover and how easy is it to use it? And if you want your code to be used by people who have no coding skills or at the very least, their skills are not good enough to understand it. Why not wrap your code with an interface that will enable anyone to use it? Let us help you with this!What You will learn in this course: You will be intimately familiar with every available tool in the GUIDE Environment, You will know how to work with every available element in the GUIDE Environment and practice it by building two different projects, Work with the handles structure and use it to interact between separate elements and much more…
Introduction to Programming with MATLAB
Akos Ledeczi via Coursera
This course teaches computer programming to those with little to no previous experience. It uses the programming system and language called MATLAB to do so because it is easy to learn, versatile and very useful for engineers and other professionals. MATLAB is a special–purpose language that is an excellent choice for writing moderate–size programs that solve problems involving the manipulation of numbers. The design of the language makes it possible to write a powerful program in a few lines. The problems may be relatively complex, while the MATLAB programs that solve them are relatively simple: relative, that is, to the equivalent program written in a general–purpose language, such as C++ or Java.
Introduction to MATLAB with Simulink
Anthony Nwachukwu via Udemy
This course starts with introductory topics in MATLAB before starting Simulation topics. It touches the major topics Engineers and Scientists encounter when faced with Simulation problems. After this course, you can stand boldly and tackle those difficult Simulation problems on your own with MATLAB Simulink.
Scilab: The First Course [Beginners to Intermediate]
Tahir Yaqub via Udemy
MATLAB is the most popular software for numerical computation in the fields of mathematics, control systems, statistics, signal processing and other science fields in general. However, there are some free alternatives available for scientific research community and Scilab is at the top of that list. Scilab is an open source, cross–platform numerical computational software and also a high–level, numerically oriented programming language. For MATLAB user, it also has a built–in MATLAB translator which can help them in smooth transition from MATLAB to Scilab. Scilab is fully compatible with Linux, Mac OS X, and Windows platforms. This course however, only uses Scilab in Windows 10 environment.
Signal processing problems, solved in MATLAB and in Python
Mike X Cohen via Udemy
The main focus of this course is on implementing signal processing techniques in MATLAB and in Python. Some theory and equations are shown, but I’m guessing you are reading this because you want to implement DSP techniques on real signals, not just brush up on abstract theory. The course comes with over 10,000 lines of MATLAB and Python code, plus sample data sets, which you can use to learn from and to adapt to your own coursework or applications.
MATLAB for Engineering Students Part 1
Cherish Qualls, PhD via Udemy
I have taught MATLAB many, many times. I know what works for students and what doesn’t. This course is structured differently from others available online. Other instructors just show themselves typing code in MATLAB as they explain the topics. I don’t think that’s the best way for you to learn. In this course, we will have a brief lecture with slides discussing the concepts. You will also be provided with a downloadable booklet of examples for each chapter and we will work through them together. This gives you the opportunity to code while having someone walk you through it at the same time.
Data Processing and Feature Engineering with MATLAB (FREE)
Brandon Armstrong via Coursera
In this course, you will build on the skills learned in Exploratory Data Analysis with MATLAB to lay the foundation required for predictive modeling. This intermediate–level course is useful to anyone who needs to combine data from multiple sources or times and has an interest in modeling. These skills are valuable for those who have domain knowledge and some exposure to computational tools, but no programming background. To be successful in this course, you should have some background in basic statistics (histograms, averages, standard deviation, curve fitting, interpolation) and have completed Exploratory Data Analysis with MATLAB.