Showing posts with label MATLAB. Show all posts
Showing posts with label MATLAB. Show all posts

[Download] The Complete MATLAB Mastery - From a Beginner to an Expert

The Complete MATLAB Mastery - From a Beginner to an Expert

Learn From Top MATLAB Experts In The Field - MATLAB Basics, High Quality Code, Data Visualization, Loops and much more!

What you'll learn

  • You will have in-depth working knowledge of MATLAB, how MATLAB prefers to work, why to use some functions instead of others
  • You will learn how to write High Quality, Documented and Speed Optimized MATLAB Code
  • You will learn how to solve multi-initial conditions problems and visualize the results
  • Customize MATLAB to Your Preferences
  • Perform Various Arithmetic Operations with MATLAB
  • Deep Understanding of Vectors
  • Deep Understanding of Matrices
  • How MATLAB Actually Prefers to Work
  • Data Visualization - Visualize Your Experiments to Better Express Yourself
  • Conditional Statements - If/elseif/else/switch
  • Relational & Logical Operators
  • How Loops Work - For and While Loops
  • How to Use Nested Loops
  • How to Create MATLAB Functions
  • Inputs and Outputs of Functions
  • Safeguarding Your Functions Against Incorrect Inputs


  • MATLAB already installed on your PC, free license works too
  • No Prior Coding Knowledge is Required
  • You will need ZIP software like WinZip or WinRar, to Unzip/Unrar the Source Code files
  • Desire and Need to Learn MATLAB


This course will transform you from a MATLAB Novice into a MATLAB Master. The course was developed under the strict oversight of Hristo Zhivomirov who is one of the top 50 MATLAB contributors Worldwide (search for his name in Google).   

The course is structured in a way that is suitable for both beginners and those that already have some experience with MATLAB, there is a lot of information for everyone.   

Everything in our world today can be viewed as some kind of a matrix, and I’m not talking about the Matrix Trilogy. For example

  • Measuring the temperature of a patient every 2 hours, can be represented with a one dimensional matrix, which is also called a vector   
  • Monochromatic (black and white) image is a two dimensional matrix, the values in each cell in the matrix is representing the gradation of the gray color   
  • Measuring temperature in a room for example, rooms are 3D, so we need x, y, z to describe the position at which we take our measurements, and the value is the temperature, that is a three dimensional matrix   
  • Measure now the change of that temperature over a period of time and the temperature becomes a fourth dimension
  • Now add time in the mix and you get… a fifth dimension!

Actually MATLAB has no restrictions on dimensions, you can work with 4, 5, 6 and more dimensions in a single matrix!

How to handle The Matrix: It is not necessary to look for the red pill, like Neo had to – what you actually need is MATLAB, which means MATrix LABoratory contrary to popular belief. MATLAB is a programming language of high level and interactive programming environment that lets you easily implement numeric experiments and methods, allowing you to design algorithms, analyze data and visualize that data in a very, very powerful way. 

You will learn:   
  • Variables, everything you need to know about variables in matlab, their types or lack of types, converting between different types, naming conventions, the semicolon operator and more   
  • Basic Arithmetic Operations in MATLAB, the most important thing in this section of the course are the Brackets and the Order of operations, many beginners get lost when they encounter complex expressions, and you will become a master of those
  • Right after that we are diving into deep waters starting with Vectors, you will learn how to think in vectors and perform a variety of different operations on and with vectors. Concatenating vectors, extracting or selecting subvectors, and more   
  • Matrices are next on the line, but you wont need any pills, because I have you covered, you will learn everything you need to know about working with Matrices in MATLAB and you will also learn a trick in this section that will help you optimize your code and make it run up to 100 times faster
  • Data visualization, because, well, whats the point of working with Data if you cant understand it or share it with other people, visualizing data is key in any area of work   
  • And finally we get to the actual MATLAB Programming by utilizing conditional statements, loops and functions to control the flow of your code, write less code, and make your code modular.

Each section contains a source code file at the end so that you can download and review the code that I have written in the lectures!
I hope that you will enjoy this course, as much as I did creating it, so lets dive right into it!

I welcome you to the course!

Who this course is for:

  • Academics
  • Researchers
  • Engineers
  • Students
  • Anyone who has interest in working with Data

[Download] Learn MATLAB programming, debugging, and style

Learn MATLAB programming, debugging, and style

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

What you'll learn

  • Introduction to MATLAB
  • How to write scripts and functions
  • Visualize data in 2D and 3D
  • Control statements
  • Develop your programming style
  • Think like a programmer
  • Find and fix bugs
  • Learn the most common mistakes and how to avoid them
  • Strategies for planning and organizing your code
  • * Manually corrected closed-captions *
  • * The only MATLAB course with CHINESE subtitles *


  • Prior experience with MATLAB is NOT necessary!
  • But a bit of programming familiarity (in any language) will be helpful.
  • Either MATLAB or Octave (a free MATLAB-like program) installed on your computer.
  • Mathematics background is NOT necessary.


You need to learn MATLAB!

MATLAB is the most powerful and versatile software program for data visualization, simulations, complex large-scale data analysis, and applied linear algebra. MATLAB is widely used in academia and industry, and MATLAB programming skills can be vital to success in studies, research, and industry.

Learning to program is more than just memorizing code

Sure, you need to learn MATLAB coding syntax rules, you need to memorize some functions, and you need to know how to write a for-loop. And you'll learn these topics in this course.

But becoming a proficient programmer is also about developing critical-thinking skills, debugging strategies, and programming style. That's a major focus of this course. In fact, 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

This course is for you if your programming skills are:

  • Terrible
  • OK
  • Sort-of all right but could be better
  • Good or excellent in a language other than MATLAB

What sets this course apart from other MATLAB courses on Udemy:

  • Start with the basics, but move to intermediate programming levels.
  • Instead of just learning a few MATLAB tricks, you will learn general, transferable programming skills.
  • You will learn not only how to program, but also how not to program, including the common coding errors to avoid.
  • You will see lots and lots of examples in MATLAB of coding mistakes and bugs that I've seen countless students make.
  • You will learn strategies for confirming, debugging, and sanity-checking your code to weed out possible hidden coding bugs.
  • You will learn about data visualization, including the basics and intermediate levels in order to make beautiful visual displays of data.
  • You will learn how to plan, organize, and structure scripts and functions. These are the skills that turn novice programmers into expert programmers.

What you get in this course:

  • >5 hours of video lectures that include explanations, pictures, and diagrams
  • pdf readers with important notes and explanations
  • Exercises and their solutions
  • >1500 lines of MATLAB code
  • Access to me! You can ask me questions or send me some code that you need help with.
  • That warm, fuzzy, and deeply existentially satisfying feeling you get from writing good, clean code.
  • Bonus discount coupons to other relevant courses to continue learning.

Why I am qualified to teach this course:

I've written two textbooks on MATLAB programming (you can look them up on amazon for reviews) and I've taught programming and data visualization for almost 20 years. I know exactly what students are going through when learning MATLAB, and I've seen every possible error and source of confusion you can imagine!

Don't just take my word for it: Scroll down and read the reviews!

I've taught MATLAB to people with the following backgrounds:

  • Data science
  • Statistics
  • Computer science
  • Biology
  • Psychology
  • Engineering
  • Physics

So what are you waiting for??

Watch the course introductory video to learn more about the contents of this course and about my teaching style. If you are unsure if this MATLAB course is right for you, feel free to contact with me questions before you sign up.

I hope to see you soon in the course!


Who this course is for:

  • Students who need MATLAB for courses
  • Scientists who need MATLAB for research
  • Someone who will use MATLAB as a tool to understand math or engineering principles
  • Experienced programmers who are new to MATLAB
  • Anyone interested in learning about programming!

(Download) - Digital Signal Processing with MATLAB (Codes Included)

Practical Guide to the Digital Signal Processing with multiple solved projects and downlodable source codes

What you'll learn

  • Identify and analyze digital signals and systems
  • Analyze the effects of the incoming signals on the digital systems
  • Solid understanding of the Matlab programming language and how it is used in DSP
  • Solid understanding of the Matlab DSP toolbox


  • This course is self explanatory, and the required skills will be taught during the course. Knowledge of Matlab programming language and Math functions is preferred but not required.


This course offers Coursovie Training Certificate in addition to Udemy Certificate. Coursovie Certificate is FREE and requires registration on Coursovie Website. 

In this course, students will explore the vast world that is digital signal processing. Led by instructor Jake Bailey, MSME (Adjunct Faculty, CSU Fullerton), students will undertake lessons in fundamentals such as discrete mathematics, signal and system representations, discrete Fourier and z-transforms, transfer functions and poles and zeros, and many others. All of these concepts are reinforced by example and practice using the MATLAB computational software package.

After acclimating with the language and methods of DSP, students will then be ushered through a variety of interesting and practical real-world applications, including filter design, audio signal processing, and image processing. All of these examples are shown with the MATLAB software package, for which the M-Files are available to students who purchase the course.

Who this course is for:

  • Students of Electrical and Computer Engineering Fields
  • Hobbyists, and anyone who deals with digital signals.

(Download) - MATLAB Master Class: Go from Beginner to Expert in MATLAB

MATLAB from beginner to advance level with Advanced Data Types and Applications from Data Science and Data preprocessing

What you'll learn

  • Develop beginer to advance level skills of Programming with MATLAB. This is the only course which enables you to learn intermediate and advance programming data structures such as structures, tables, times tables, cells and map container.
  • Gain Hands-On experience with MATLAB for visualizing, analyzing and formulating intermediate and some advanced level problems using MATLAB programming skills
  • Experience some real world applications of MATLAB in solving Data Science problems.


  • We cover everything from scratch and therefore do not require any prior knowledge of MATLAB
  • The installation of MATLAB software on your machine is a must for this course so that you are able to run the commands and scripts that we cover during the course. If you do not have the MATLAB software installed than you may consider the following options
  • 1. You may download a free trail copy of the software from the MATHWORK website. This is for limited time use
  • 2. If you are student or employee, you may contact your School or employer for a free copy. Many universities offer a free student version of the software
  • 3. You may consider downloading the Octave which is a free and has nearly identical functionality as that of MATLAB. (I would not recommend this option since you may not be able to have access to all the functions that we cover in this course)
  • 4. If none of the above works for you, then you may purchase the student version directly from Mathworks website which is significantly lower in cost compare to its full version


Basic Course Description 

MATLAB (matrix laboratory) is one of the fundamental and leading programming language and is a must learn skill for anyone who want to develop a career in engineering, science or related fields. Excellent MATLAB programming skills is therefore a crucial factor in making or breaking your career.

This course is designed from a perspective of a student who has no prior knowledge of MATLAB. The course starts from the very basic concepts and then built on top of those basic concepts and move towards more advanced topics such as visualization, exporting and importing of data, advance data types and data structures and advance programming constructs.

To get the real feel of MATLAB in solving and analyzing real life problems, the course includes machine learning topics in data science and data preprocessing.

The course is fun and exciting, but at the same time we dive deep into MATLAB to uncover its power of formulating and analyzing real life problems. The course is structured into four different Parts. Below is the detailed outline of this course. 

Part 1: MATLAB from Beginer to Advance 

Segment 1.1: Handling variables and Creating Scripts

Segment 1.2: Doing Basic Maths in MATLAB

Segment 1.3: Operations on Matrices

Segment 1.4: Advance Math Functions with Symbolic Data Type

Segment 1.5: Interacting with MATLAB and Graphics

Segment 1.6: Importing Data into MATLAB

Segment 1.7: File Handling and Text Processing

Segment 1.8: MATLAB Programming

Segment 1.9: Sharing Your MATLAB Results

Part 2: Advance MATLAB Data Types

Segment 2.1: Cell Data Type

Segment 2.2: Tables and Time Tables

Segment 2.3: Working with Structures and Map Container Data Type

Segment 2.4: Converting between Different Data Types

Part 3: Machine Learning for Data Science Using MATLAB

Segment 3.1 Data Preprocessing

Segment 3.2. Classification

Segment 3.2.1 K-Nearest Neighbor

Segment 3.2.2 Naive Bayes

Segment 3.2.3 Decision Trees

Segment 3.2.4 Support Vector Machine

Segment 3.2.5 Discriminant Analysis

Segment 3.2.6 Ensembles

Segment 3.2.7 Performance Evaluation

Segment 3.3 Clustering

Segment 3.3.1 K-Means

Segment 3.3.2 Hierarchical Clu stering

Segment 3.4 Dimensionality Reduction

Segment 3.5 Project

Part 4: Data Preprocessing for Machine Learning using MATLAB

Segment 4.1 Handing Missing Values

Segment 4.2 Dealing with Categorical Variables

Segment 4.3  Outlier Detection

Segment 4.4 Feature Scaling and Data Discretization

Segment 4.5 Selecting the Right Method for your Data

Who this course is for:

  • Anyone looking to build a strong career in science or engineering through Excellent MATLAB coding skills
  • Anyone wanting to advance their skills of real world problem solving with MATLAB based scientific computing

(Download) - Master MATLAB through Guided Problem Solving

Become an expert in MATLAB Programming and Scientific Computing. Advance your career in Engineering Physics Biology etc

What you'll learn

  • Beginning to advanced MATLAB programming proficiency. This is *the only course* that develops intermediate and advanced programming skills.
  • Obtain real-world application experience that that researchers and industry professionals use MATLAB for, including signal processing, matrix decompositions, spectral analysis, linear and nonlinear model-fitting, and statistics.
  • Gain skills to solve challenging problems in MATLAB, as opposed to memorizing syntax rules.


  • A computer with MATLAB or Octave installed.
  • Many people have access to MATLAB through their school, university, or company.
  • MATLAB also offers student licenses and free 30-day trials.
  • Octave is a free cross-platform scientific computing environment that has nearly identical functionality as MATLAB.
  • Some previous experience with MATLAB programming is desirable.
  • This course starts from the basics but builds quickly to intermediate/advanced programming levels.
  • Previous experience with other programming languages will be beneficial but is not necessary.


MATLAB is the premier programming language of scientific computing in university, research, and industry. 

Excellent MATLAB programming skills can make or break a career in engineering, physics, biology, finance, and many other fields. 

But how do you learn how to program in MATLAB? Sure, you can watch some tutorial videos online, but those videos generally focus on the most basic coding skills, like what is a variable and how to write a for-loop. 

Those are important foundations, but they won't make you competitive. If you want to be competitive, you need to become a master at MATLAB programming. And that's what you'll learn in this course.

This course is different from other MATLAB programming courses! 

Rather than having short videos that presents a simple piece of MATLAB syntax, this course starts from the real-world perspective: Problems in data science that you can solve with MATLAB.

Do you need to learn how to filter your signal in MATLAB?  There's a section for that!

Do you have a complicated formula and you need to translate it into MATLAB code and make a graph that simulates the formula with different parameters? Yeah, there's a section on that as well!

Do you need to make a movie of a 3D simulation changing in color over time and then export as an .avi file? This course covers that as well!   

Maybe you want to learn how to make textured landscapes using fractal math, or use SVD to compute the low-rank approximation of a data matrix, or use nonlinear search methods to fit a 3-parameter Gaussian model to data? You guessed it -- it's all covered in this course!

If you are looking for a slow, gentle course that will take baby-steps to teach you what you could have learned on your own, then this is not that course.

If you want to gain confidence in solving real-world problems in MATLAB coding to advance your studies, your research, and your career by learning MATLAB programming from a single course with >35 hours of hands-on instruction from a world-class scientist, teacher, and writer, then this course is definitely right for you.

Key topics covered.

The basic stuff: loops, functions, IO, etc. Core skills you need to be able to progress with MATLAB. 

The more intermediate and advanced topics in the course include:

2D and 3D plotting, and data animations (movies)

Image and time series segmentation

Calculus and differential equations

Univariate and multivariate time series cleaning and analysis

Spectral (Fourier) and time-frequency analyses

Linear algebra including eigendecomposition, orthogonalization, and principal components analysis

Generating fractal pictures and time series

Nonparametric statistics and nonlinear model fitting

Get started today!

There is no doubt that MATLAB is the premier programming language of scientific computing in university, research, and industry.

The sooner you sign up for this course, the sooner you will be able to advance your career in engineering, physics, biology, finance (or other fields using MATLAB).

Why not get started today?

Click the Signup button to sign up for the course!

Who this course is for:

  • Anyone looking to build a career in engineering, physics, biology, finance, and many other fields by building Excellent MATLAB coding skills
  • Anyone wanting to progress beyond watching simple MATLAB tutorials to actually becoming an expert in MATLAB programming by solving real problems in scientific computing

(Download) - Become a Good Matlab Programmer in 30 days

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

What you'll learn

  • At the end of this course you are a confident Matlab Programmer
  • By the end of the course, you are able to formulate intermediate and some advanced engineering projects into Matlab and solve them using programming skills
  • You are fully able to solve any engineering and technical project offered at University or College


  • In this course we start from the very begining and no prior programming experience is required.
  • Matlab Software Installation: You are requried to install the Matlab Software on your machine, so you can start exectuing the codes, and examples we work during the course. Please visit : for requesting a free trial of the software if you didn't have it already. Most of the Universities offer a free student version of the software, therefore, if you are a student, first contact your university to see if such a program is avaiable. If you are not a student or your university didn't offer it, you can purchase the studnet version directly from Mathworks. Please note that we need the student version in this class which already comes with 10 of the most important Matlab Toolboxes installed.
  • The will to learn programming and Matlab in Particular !
  • General Knowledge of Computer


This course offers Coursovie Training Certificate in addition to Udemy Certificate. Coursovie Certificate is FREE and requires registration on Coursovie Website. In order to register please visit us at (coursoviedotcom). 

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. So much so that Google's former svp/product management Jonathan Rosenberg recognized it as the only skill you need on your resume to be able to work at Google. 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)

Who this course is for:

  • Entrepreneurs
  • Teachers
  • Researchers
  • High School and College Students
  • Engineers in technical fields
  • programmers