As the volume and complexity of data and results continues to grow with the increasing complexity of data sources and algorithms, the need for intuitive representations of that data and results becomes increasingly critical.

Update: We have created the latest version of top matlab tutorials. Feel free to checkout the best matlab tutorials of the year.

We want to create the representations in such a way that the human mind can, after all, better understanding our universe and the processes taking place within — representation of a real-world object, an abstract mathematical expression, specific values of some measurable quantities, etc. Since 80 percent of the sensory information the brain receives comes from our eyes, the visual presentation of data is the natural choice.

The graphical representation of the results is often not only the most effective means of conveying the points of the study or work which has provided the data, but is in most cases an expectation of the audience of the work. It helps you to identify and emphasize areas of interest in data behavior, to express your thoughts, observations, and conclusions to others in a quick and intuitive way.

Why MATLAB?

1. Ease of Use

MATLAB is an interpreted language. Programs may be easily written and modified with the built-in integrated development environment and debugger.

2. Platform Independence

MATLAB is supported on many different computer systems, providing a large measure of platform independence. The language is supported on Windows, Linux, Unix, Macintosh. Programs written on any platform will run on all of the other platforms.

4. Device-Independent Plotting

MATLAB, unlike other computer languages, has many integral plotting and imaging commands. The plots and images can be displayed on any graphical output device supported by the computer on which MATLAB is running. This capability makes MATLAB an outstanding tool for visualizing data.

5. Full set capabilities

MATLAB has all graphics functions necessary to visualize scientific and engineering data. It includes features for representation of two-dimensional and three-dimensional diagrams, three-dimensional volume visualization, animation, tools to create diagrams interactively and the possibility of exporting to the most popular graphic formats. It is possible to customize diagrams adding multi-axes, change the colors of the lines and markers, add annotations, LaTeX expressions, legends and other plotting options.

This is the last time, you wish you could be a Matlab Programmer.

Matlab Programming is one of the most important technical programming languages and skills today. In this course, we will start learning Matlab from beginner level, and slowly we ease our way into more technical topics. This course is a general Matlab Programming, and it means that all the majors can benefit from this course. Matlab Programming is an easy and understandable programming language and is an excellent choice for learning before starting other programs like Java, Python, C, and C++.

The list of contents is:

Chapter 1: An Introduction to Matlab Software

Chapter 2: Mathematics in Matlab

Chapter 3: Working with Variables in Matlab environment

Chapter 4: Trigonometric Functions in Matlab

Chapter 5: Complex Numbers in Matlab

Chapter 6: Working with Vectors in Matlab

Chapter 7: Working with Matrices in Matlab

Chapter 8: Introduction to Calculus and Engineering Functions in Matlab

Chapter 9: Graphs and Plotting in Matlab

Chapter 10: Loops, Conditions, and Intro to Programming in Matlab

Chapter 11: Projects (Updates Weekly with new programming drills)

Chapter 12: Import Data from Excel to Matlab

Chapter 13: How to Claim your Coursovie Training Certificate (LinkedIn)

Chapter 14: Bonus Materials for the Course

Chapter 15: Massive Discount Codes for other Courses (Coursovie Collection)

MATLAB is one of the most popular programming languages today for engineers and scientists, and with good reason-it allows analysts to work efficiently with large amounts of data.

In this course, you will learn how to:

harness the MATLAB tools.

create programs to model your own data and hypotheses.

create 2D and 3D plots.

add annotations, and incorporate images.

Here, you will learn how to harness the MATLAB tools and create programs to model your own data and hypotheses.

First, learn how to create basic variables and cell arrays, and work with the core MATLAB syntax, which is significantly different than other programming languages.

Then discover how to create scripts and functions, work with matrices, debug your program, and import data. To illustrate your findings, the course shows how to create 2D and 3D plots, add annotations, and incorporate images. The final chapter covers Simulink, the MATLAB block diagram tool.

Essential MATLAB Tutorial that will take you from beginner to advance level.

MATLAB (matrix laboratory) is a multi-paradigm numerical computing environment and fourth-generation programming language which is frequenlty being used by engineering and science students. In this course, we will start learning MATLAB from a beginner level, and will gradually move into more technical and advnace topics. This course is designed to be general in scope which means that it will be beneficial to students in any major. Once, passed a certain learning thresholds, you will definately enjoy MATLAB Programming. The key benefit of MATLAB is that it makes the programming available to everyone and is very fast to turn ideas into working products compared to some of the conventional programming languages such as Java, C, C++, visual basic and others.

Below is the detailed outline of this course.

Segment 1: Instructor and Course Introduction

Segment 2: Handling variables and Creating Scripts

Segment 3: Doing Basic Maths in MATLAB

Segment 4: Operations on Matrices

Segment 5: Advance Math Functions with Symbolic Data Type

Segment 6: Interacting with MATLAB and Graphics

Segment 7: Importing Data into MATLAB

Segment 8: File Handling and Text Processing

Segment 9: MATLAB Programming

Segment 10: Sharing Your MATLAB Results

Segment 11: Cell Data Type

Segment 12: Tables and Time Tables

Segment 13: Working with Structures and Map Container Data Type

Segment 14: Converting between Different Data Types

Master MATLAB Programming fundamentals and Simulink to increase your number crunching abilities.

Learn MATLAB and Simulink Programming is a course that focuses on teaching students about the various commands, functions, and features that MATLAB and Simulink have to offer. MATLAB and Simulink have a lot of capabilities and so this course will only focus on the main topics to get you comfortable creating your own scripts and Simulink models. This course contains many examples of different projects as well as step-by-step solutions to help you best understand what is going on. the completed code is attached in the projects so that students can download and get the same results they see onscreen.

This course is designed to teach students through a combination of articles to help explain various topics and videos to show examples of these topics. There are also various quizzes that are designed to test students and let them know if they sufficiently understand the information presented in the section. This course starts out by briefly covering an overview of the MATLAB environment and where specific tools are located. Each section of this course covers different topics including the following:

Generating Figures

Plotting Data

Basic MATLAB Commands

Vectors

Matrices and Matrix Commands

MATLAB Scripts

Programmings Loops & Conditional Statements

User Defined Functions

Simulink

Simulink Features

Example Simulink Projects

There are several quizzes that will test your understanding of the various sections. There are multiple projects that require students to solve problems using MATLAB & Simulink.

Each of the projects in this course contain the following information:

Instructions: This article explains what is required to complete the project.

Demonstration: This lecture demonstrates what is expected of the students in terms of how to complete the project.

Step-By-Step Solution: This lecture explains the thought process and how to complete the project in a step-by-step fashion.

Learn the key MATLAB programming skills that separate experts from novices: debugging, functions, and visualization.

MATLAB is one of the most important and widely used programming environments, data visualization tools, and numerical solvers in academia and industry. On the other hand, MATLAB is just a programming language, not so different from learning other “high-level” coding or visualization languages; therefore, my goal in this course is not just to teach you how to code in MATLAB, it’s to teach you high-level, transferable skills that will help you become a better programmer, regardless of whether you are using MATLAB, Python, R, JavaScript, or any other language.

What you will learn in this course:

Using and customizing the visual MATLAB environment (including replacing those awful default black-on-white colors with something that suits your colorful personality!)

MATLAB programming basics

Control statements (for-loops, while, if-else, switch)

Make your own MATLAB functions

Create and edit data visualizations using the MATLAB graphics engine

How to write good, clean, readable code

General strategies for debugging (finding and fixing errors)

Recognize common coding mistakes and how to avoid them

How to organize and optimize your code before you start coding

Build confidence about your programming skills

Learn how to Visualize Data with MATLAB in 2D, 3D, 4D, 5D and create animated plots with tens of projects and examples.

Why this course?

Breaks the complex plot techniques down into simplistic steps.

Easy and intuitive approach from professional trainers.

Ideal for students, academics, scientists.

Suitable for beginner programmers.

Learn MATLAB Programming with step by step Exercises.

This is a practicing course for MATLAB. Learn the leading software in numerical computing through step by step exercises. Master the basics and move to an advanced level in MATLAB.

MATLAB is a leading software in numerical computing and building algorithms that is widely used by Engineers, Programmers, Researchers, Teachers, Colleges and Entrepreneurs.

In this course you will start learning MATLAB by creating and manipulating Matrices which are the key for MATLAB programming, then you will learn how to use MATLAB in some Elementary Mathematics Problems, after that comes the Graphics section in which you will learn how to use MATLAB to produce 2D & 3D graphs also how to build 2D animations. In the programming section you will learn how to use MATLAB as a programming language to build your own Algorithms, you will learn how to import and analyze data to MATLAB, and finally you will get introduced to the symbolic capabilities of MATLAB.

Learn how to use MATLAB with this awesome toolbox of Image Processing. No previous experience required at all.

MATLAB’s Image Processing (IP) toolbox is insanely popular and widely used in almost all academic Institutions and Enterprises. That’s because, it is so well written and organized, that it makes this toolbox very user-friendly for even the toughest of the IP operations.

If you want to learn MATLAB for your Work or College, this is the right course for you. This course teaches you this complete Image Processing toolbox from scratch. All the theoretical concepts have been explained in presentations with examples. Then, their implementation is covered with Matlab Programming. All these presentation files and working Matlab scripts are provided as supplementary materials along with the lectures. You don’t need any previous Matlab Programming experience to take this course, as it starts everything from scratch.

The course content covers all the (Beginner and Intermediate Level) topics in IP toolbox like Image Filtering, Noise Removal, Morphological Operations, Histogram operations, Image Thresholding, Edge Detection and basics of Image Segmentation. Several quizzes have been set up to keep a track of your performance and understanding. Besides all the theoretical content, some real world applications have been covered as well in the form of Projects Like “Detect the faces of all your friends in an image”

Introduction to MATLAB for Engineers and Scientists.

Whether of engineering, science, economics or medical background, you are about to join over 2 million users of MATLAB that cut across these backgrounds; a multi-paradigm numerical computing environment and fourth-generation programming language that allows matrix manipulations, plotting of functions and data, implementation of algorithms, creation of user interfaces, and interfacing with programs written in other languages, including C, C++, C#, Java, Fortran and Python with additional package, Simulink, adds graphical multi-domain simulation and model-based design for dynamic and embedded systems.

This course starts from the elementary topics, then progressively and systematically advances to more advanced (but well explained) topics in MATLAB. It touches the major topics Engineers and Scientists meet on daily bases and major aspects of MATLAB you need to progress to become an expert. After this course, you can stand boldly and tackle those difficult problems on your own with MATLAB and be able to proceed and specialize on any aspect of MATLAB you choose to.

Each lecture has quiz which must be attempted to obtain a certificate for this course. Each section has assignment which can be evaluated by fellow Udemy students if you give the permission. Note that some of these quizzes serve as summary to the course, you will get to learn some more things and also understand some key facts emphasized in the lectures. The step-by-step answers to the assignment are also provided.

In this course, you will typically become a guru and will move from zero knowledge in MATLAB to hero.

Build your own MATLAB programs using the Accelerometer, Compass, GPS & other iOS Sensors on your iPhone & iPad.

Now you can collect sensor data from your iPhone or Apple iOS device using MATLAB! Impress your friends, build some cool programs, and take your MATLAB skills to a new level with this interactive course. You’ll learn how to capture and utilize data from 5 different sensors without the need to buy additional software or hardware.

Build 6 iPhone Sensor Projects (Source Code Included)

In this course, you will master the MATLAB® Support Package for Apple iOS Sensors by building a unique set of projects which enable you to:

Build Your Own 3D Compass

Rotate 3D Objects Using Your Phone

Detect iPhone Facing Up or Down

Track Position and Speed of A Car

Detect Shaking

Count Your Steps While Walking

Getting set up is a little tricky, but, don’t worry, I’ll walk you through it. And if you have any problems you can ask for help through the discussion forum. I’ll show an easy method to enable and acquire data from all 5 iOS sensors including:

Acceleration Sensors — Learn how to use abrupt changes in your iPhone’s movement

— Learn how to use abrupt changes in your iPhone’s movement Magnetic Field Sensors — Explore magnetic fields used by the compass and other input devices

— Explore magnetic fields used by the compass and other input devices Orientation Sensors — See how you can detect your iPhone state and control virtual items

— See how you can detect your iPhone state and control virtual items Angular Velocity Sensors — Detect your iPhone’s movement and use to control software

— Detect your iPhone’s movement and use to control software Position Sensors — Capture your GPS position and speed and build location based apps

You will learn how easy it is to enable these sensors and acquire data for your MATLAB programs.