MATLAB is a programming language that is specifically designed for engineers and scientists to design systems and products which transform our technological world. It is a high-performance language and it integrates visualization, computation, and programming. It offers live editing platforms, which help engineers and scientists create scripts. Students who wish to learn MATLAB can pursue beginner’s level courses to advanced level courses on Udemy.
This article features top 10 Best MATLAB Courses on Udemy in 2022. Python for MATLAB Users/MATLAB Fans: From Newbie to Superb is one of the top-rated MATLAB Courses. There are four MATLAB Courses on udemy that have been rated 5.0 out of 5.
Udemy is currently offering their best MATLAB Courses for up to87% offi.e.INR 455(INR 3,499) along with a 30-day money-back guarantee and lifetime access.
1. Python for MATLAB Users/MATLAB Fans: From Newbie to Superb
Students will learn how to use Python as a powerful, comprehensive, Machine Learning-oriented, and solid alternative tool to MATLAB in this course: from simulation to prototype to real-life production applications, all in the same language.
If students haven't used Python yet and its rise to become the most popular programming language has piqued their interest, they've come to the right place. This course is intended for MATLAB fans and long-time users who are thinking about switching to Python, either partially or entirely.
- Course Rating:5.0/5
- Duration:6.5 hours
- Fees:INR 455 (
INR 3,499) 87% off - Benefits:1 Downloadable resource, Full lifetime access on mobile and TV, Udemy MATLAB Certification
Join Now:Python for MATLAB Users/MATLAB Fans: From Newbie to Superb
Learning Outcomes
| How to make the switch from Matlab to Python go smoothly | Learn the fundamentals and fundamentals of Python as a multi-purpose computational programming language. |
| Learn how to create Python lists, arrays, matrices, for-loops, while-loops, if statements, functions, and objects. | Learn how to use Python to create real-world applications and prototypes. |
| Learn the primary distinctions between Python and Matlab, as well as why the industry prefers Python over Matlab. | Learn how to use Python to perform regression, curve fitting, optimization, testing, and machine learning. |
| Learn everything you need to know to replicate the MATLAB experience with Python. | Learn about the key differences between MATLAB and Python and how to account for them when using Python. |
2. Go MATLAB! Elevate your Skills to Make a Difference
MATLAB is a powerful programming language that was created specifically for data manipulation and analysis using advanced mathematics and statistics. It includes a large built-in library with a variety of simple and advanced mathematical, numerical, and statistical methods.
Learning a new programming language can be difficult. It can take months (or years) to master a programming language, which causes many students to drop out or lose interest. But this does not have to be the case. Our experience with students over the years has taught us that the best learning experiences are those in which students are involved in real-world projects of their choice.
- Course Rating:5.0/5
- Duration:2.5 hours
- Fees:INR 455 (
INR 3,499) 87% off - Benefits:1 Downloadable resource, Full lifetime access on mobile and TV, Udemy MATLAB Certification
Join Now:Go MATLAB! Elevate your Skills to Make a Difference
Learning Outcomes
| Learn everything you need to know about programming in MATLAB in 5 lectures. | Learn to code while listening to lectures. |
| Learn how to use MATLAB to analyze data using advanced math and statistics. | Learn the critical skills required to solve complex mathematical and programming problems. |
| Discover how powerful programming languages can be for automating repetitive tasks. |
3. MATLAB: How to Create Professional Graphic Interfaces
"A graphical user interface (GUI) is a type of user interface that allows users to interact with electronic devices using graphical icons and audio indicators such as primary notation rather than text-based user interfaces, typed command labels, or text navigation. GUIs were developed in response to the perceived steep learning curve of command-line interfaces, which require commands to be typed into a computer keyboard,” according to Wikipedia.
Being able to create graphical user interfaces will allow you to create applications that are easier to use for your average user, allowing your work to reach a larger number of people in less time and with a greater impact.
- Course Rating:5.0/5
- Duration:4 hours
- Fees:INR 455 (
INR 3,499) 87% off - Benefits:9 Downloadable resources, Full lifetime access on mobile and TV, Udemy MATLAB Certification
Join Now:MATLAB: How to Create Professional Graphic Interfaces
Learning Outcomes
| Matlab programming | GUIs |
| Graphical User Interfaces | Matlab App Designer |
4. Particle Swarm Optimisation Algorithm (MATLAB Implementation)
This course is designed specifically for B. Tech. and M. Tech/MS students from all Engineering disciplines. Engineering students of all disciplines can take this course and use what they learn to solve optimization problems in their field as part of a mini-projector capstone project.
Furthermore, the course is beneficial to Ph. D. students in various engineering fields. This course is open to anyone, regardless of programming experience. The fundamentals of MATLAB programming are taught at the start of the course, as is the concept of optimization algorithms.
- Course Rating:5.0/5
- Duration:3 hours
- Fees:INR 455 (
INR 3,499) 87% off - Benefits:Full lifetime access on mobile and TV, Udemy MATLAB Certification
Join Now:Particle Swarm Optimisation Algorithm (MATLAB Implementation)
Learning Outcomes
| Learn the basics of MATLAB programming | Implement PSO algorithm in MATLAB to solve benchmark functions |
| Understand Particle Swarm Optimization (PSO) algorithm | Implement PSO algorithm to solve a mechanical engineering optimization problem |
| Work on a research problem in the field of optimization |
5. #3 Matlab Scientific Coding for Engineers, Students, and Science
This is an upper-intermediate Matlab course designed for engineering and STEM students, scientists, and professionals. Its primary goal is to assist you in becoming more confident with scientific coding/programming using Matlab and, as a result, more efficient and competitive, as
Matlab has become one of the most important programming environments in science. This Matlab course is made up of short, to-the-point videos with simple explanations. You will also find examples and solutions for each topic.
- Course Rating:4.9/5
- Duration:5 hours
- Fees:INR 455 (
INR 3,499) 87% off - Benefits:Full lifetime access on mobile and TV, Udemy MATLAB Certification
Join Now:#3 Matlab Scientific Coding for Engineers, Students and Science
Learning Outcomes
Gain in-depth knowledge about MATLAB
6. MATLAB App Designing: The Ultimate Guide for MATLAB Apps
The first section of the course focuses on developing apps in MATLAB using the GUIDE graphical user interface utility. The GUIDE contains critical graphical components for converting your code into usable software. Radion buttons, tables, checkboxes, sliders, and other graphical elements are included.
The main motivation for including this segment is the observation that students and people put a lot of effort into writing code but minimal effort into making it look nice.
- Course Rating:4.8/5
- Duration:7 hours
- Fees:INR 455 (
INR 3,499) 87% off - Benefits:8 Articles, 26 Downloadable resources, Full lifetime access on mobile and TV, Udemy MATLAB Certification
Join Now:MATLAB App Designing: The Ultimate Guide for MATLAB Apps
Learning Outcomes
| You will be able to create apps with Matlab graphical user interfaces by using | The guide and App designer utilities, which will allow you to turn your existing code into meaningful software. |
| All of the graphical components required to create graphical user interfaces are available. |
7. How to Simulate Electronic Properties of Nano-Structures
In this course, the instructor will provide students with the tools, knowledge, and skills they will need to complete interesting projects and conduct research on the electronic properties of nanostructures such as CNTs and GNRs.
He will demonstrate how to convert a metallic GNR to a semiconducting material or vice versa by modeling defects throughout the body of Graphene at the end of this course. He proposed a new method for tuning the Band Gap size of CNTs and GNRs, a critical electronic property of nanostructures, and his findings were published in peer-reviewed journals.
- Course Rating:4.8/5
- Duration:2 hours
- Fees:INR 455 (
INR 3,499) 87% off - Benefits:2 Articles, 1 Downloadable resource, Full lifetime access on mobile and TV, Udemy MATLAB Certification
Join Now:How to Simulate Electronic Properties of Nano-Structures
Learning Outcomes
| You'll be able to simulate the electronic properties of periodic structures, test your hypotheses, and propose results for projects, theses, and publications. | About band structure, including how to read and analyze an E-K diagram. |
| What do the terms energy band and level mean, as well as the relationship between energy and momentum in the E-K diagram? | Model with a tight binding. What it is and how it functions |
| What is the band gap concept, and what does direct or indirect band gap mean? | How to use Matlab's Tight Binding method to investigate Band-structure (E-k), Bad ap, and obtain Hamiltonian Matrix of periodic structures. |
| Bloch Theorem for periodic nanostructures and Schrodinger equation solutions for periodic potential | Learn about graphene nanoribbon and carbon nanotube structures and how to model their properties in Matlab. |
8. MCDM Using MATLAB and Excel
Multiple Criteria Decision-Making (MCDM) has emerged as a branch of operations research concerned with developing computational and mathematical tools to aid decision-makers' subjective evaluation of performance criteria.
This is the first time a comprehensive course focusing on a wide range of multi-criteria decision-making (MCDM) approaches has been launched on Udemy. As a result, we have launched a practical MCDM course for students, researchers, and practitioners.
Overall, for any given MCDM approach, we first introduce the basic theory of that method, then implement it in Microsoft Excel, and finally code the considered example using Matlab language programming.
- Course Rating:4.8/5
- Duration:13.5 hours
- Fees:INR 455 (
INR 3,499) 87% off - Benefits:44 Downloadable resources, Full lifetime access on mobile and TV, Udemy MATLAB Certification
Join Now:MCDM Using MATLAB and Excel
Learning Outcomes
| Basic Multi-Criteria Decision Making concepts and terms (MCDM) | Matlab programming fundamentals are required for the implementation of any MCDMs. |
| Excel fundamentals are required for the implementation of any MCDMs. | How to use Matlab and Excel to solve any MCDM problem |
9. MATLAB Onramp 2022: Coding, Concept, Confidence, and Style
MATLAB is the most powerful and versatile data visualization, simulation, complex large-scale data analysis, and applied for a linear algebra software program. MATLAB is widely used in academia and industry, and MATLAB programming skills can be critical to academic, research, and industrial success.
- Course Rating:4.8/5
- Duration:10.5 hours
- Fees:INR 455 (
INR 3,499) 87% off - Benefits:1 Article, Full lifetime access on mobile and TV, Udemy MATLAB Certification
Join Now:MATLAB Onramp 2022: Coding, Concept, Confidence and Style
Learning Outcomes
| MATLAB Fundamentals | What are scripts and functions? |
| Data visualization in 2D and 3D | Statements of control |
| Create your programming style. | Consider yourself a programmer |
| Learn about the most common coding errors and how to avoid them. | Methods for organizing and planning your code |
10. MATLAB Master Class: Go from Beginner to Expert
MATLAB (matrix laboratory) is a fundamental and leading programming language that is a must-know skill for anyone pursuing a career in engineering, science, or a related field. Excellent MATLAB programming skills are thus critical in making or breaking your career.
With 37+ hours of video tutorials, this MATLAB course is one of the most comprehensive online, taking you from beginner to professional. This course is written from the perspective of a MATLAB beginner with no prior knowledge of the language.
- Course Rating:4.5/5
- Duration:50.5 hours
- Fees:INR 455 (
INR 3,499) 87% off - Benefits:53 Articles, 62 Downloadable resources, Full lifetime access on mobile and TV, Udemy MATLAB Certification
Join Now:MATLAB Master Class: Go from Beginner to Expert
Learning Outcomes
| Develop beginner to advanced programming skills with MATLAB. | Create a portfolio of numerous MATLAB projects in order to apply for MATLAB jobs. |
| Learn how to use MATLAB to visualize, analyze, and formulate intermediate and advanced-level problems. | Examine some real-world MATLAB applications for problem-solving. |
| Understand and be able to use MATLAB for data science and machine learning. | MATLAB is used to create graphical user interfaces and desktop applications. |