The Complete MATLAB Mastery - From a Beginner to an Expert from Udemy

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

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.

What's inside

Learning objectives

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
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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
Show more
Show less

Syllabus

Introduction

Get To Know Your Workspace!

Create Your Own Workspace Layout!

Save Your Work In a File & The Holy Trinity of All (almost) M Files

Traffic lights

Read about what's good

what should give you pause

and possible dealbreakers

Begins with variables and basic functions, which is ideal for novices who need to grasp the fundamentals of MATLAB programming

Includes sections on data visualization, conditional statements, and loops, which are essential for data analysis and algorithm development

Teaches a trick that will help optimize code and make it run up to 100 times faster, which is useful for learners working with large datasets

Features multiple projects, such as manipulating grayscale and RGB images, which allows learners to apply their knowledge in practical scenarios

Includes quizzes and source code files for each section, which allows learners to test their knowledge and review the code

Requires learners to understand the order of operations with brackets, which may be challenging for some beginners without a strong math background

Reviews summary

Complete matlab foundation with practical projects

According to learners, this course provides a solid foundation for learning MATLAB from scratch, effectively introducing core concepts and building proficiency. Students highlight the clear explanations and the logical structure that progresses step-by-step. Many found the hands-on projects and exercises particularly helpful for practicing and solidifying their understanding, especially the sections on vectors and matrices. While the course is highly recommended for beginners, some reviewers noted that it might lack depth in certain advanced topics and that the pace in later sections could feel slightly rushed compared to the comprehensive start.

Pace good for beginners, slow for others.

"The pace is good for beginners. Some parts felt a bit slow if you already have some programming background..."

"The pace is generally good, maybe slightly slow in the very beginning."

Hands-on projects help solidify concepts.

"the hands-on projects are excellent for practicing the concepts."

"The project work helped solidify my understanding."

"The projects are practical."

"The projects are good for hands-on practice."

Content is easy to follow and understand.

"The explanations are clear, and the hands-on projects are excellent..."

"The structure is logical, building from variables to functions."

"The instructor is very clear and easy to follow. I had no prior experience..."

"A well-structured course for getting started with MATLAB."

Provides excellent start for beginners.

"This course is truly comprehensive and takes you from the absolute basics..."

"Good introduction to MATLAB. Covers all the fundamentals."

"Excellent course for learning MATLAB from scratch."

"Perfect for beginners! The instructor breaks down complex topics..."

May not cover advanced areas in depth.

"However, I found the depth lacking in certain advanced topics, especially data visualization customization..."

"The 'expert' part of the title might be misleading, feels more like beginner/intermediate."

"Found some of the later topics rushed, particularly the conditional statements and loops sections."

Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in The Complete MATLAB Mastery - From a Beginner to an Expert with these activities:

Review Linear Algebra Fundamentals

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Strengthen your understanding of linear algebra concepts, which are fundamental to MATLAB's matrix-based operations.

Browse courses on Linear Algebra

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Review matrix and vector operations.
Practice solving systems of linear equations.
Familiarize yourself with eigenvalues and eigenvectors.

Explore 'MATLAB for Engineers' by Holly Moore

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Gain insights into how MATLAB is used in engineering applications.

View MATLAB for Engineers on Amazon

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Browse the chapters related to your field of interest.
Study the examples and case studies provided.
Try to adapt the examples to your own projects.

Read 'Mastering MATLAB' by Duane Hanselman and Bruce Littlefield

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Supplement your learning with a comprehensive textbook that covers MATLAB in depth.

View Mastering MATLAB on Amazon

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Read the chapters relevant to the course syllabus.
Work through the examples provided in the book.
Attempt the exercises at the end of each chapter.

Four other activities

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Show all seven activities

Complete MATLAB Coding Challenges

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Reinforce your coding skills by tackling practical problems that require you to apply MATLAB concepts.

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Find online platforms with MATLAB coding challenges.
Solve problems related to matrix manipulation and data visualization.
Review your solutions and optimize your code.

Help others in online MATLAB forums

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Reinforce your knowledge by explaining concepts and helping others solve problems.

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Find online MATLAB forums or communities.
Answer questions from other learners.
Explain concepts in a clear and concise manner.

Create a MATLAB Function Library

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Solidify your understanding of MATLAB functions by creating a reusable library of functions for common tasks.

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Identify common tasks you perform in MATLAB.
Write functions to automate those tasks.
Document your functions with clear comments.
Test your functions thoroughly.

Develop a Data Visualization Dashboard

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Apply your data visualization skills to create an interactive dashboard that presents data in a meaningful way.

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Choose a dataset to visualize.
Design the layout of your dashboard.
Implement the dashboard using MATLAB's GUI tools.
Add interactive elements to explore the data.

Career center

Learners who complete The Complete MATLAB Mastery - From a Beginner to an Expert will develop knowledge and skills that may be useful to these careers:

Signal Processing Engineer

Signal Processing Engineers analyze and manipulate signals to extract useful information. This course may be useful for Signal Processing Engineers because MATLAB is a standard tool for signal processing tasks. Signal Processing Engineers often work on projects that require data analysis. This course can help build skills involving data manipulation, algorithm design, and data visualization. The course’s coverage of matrices, loops, and data visualization techniques provides a foundation for signal processing.

See salaries and explore the career path for Signal Processing Engineer

Data Scientist

The role of a Data Scientist involves analyzing complex data sets to extract meaningful insights and develop predictive models. This course may be useful for a Data Scientist because it focuses on MATLAB, a powerful tool for numerical computing and data visualization. Data Scientists need to be proficient in programming languages and data analysis techniques. This course on MATLAB helps build a foundation in these areas, allowing you to manipulate, analyze, and visualize data effectively. The course’s coverage of matrices, data visualization, and conditional statements may be useful for those looking to become successful Data Scientists.

See salaries and explore the career path for Data Scientist

Simulation Engineer

A Simulation Engineer creates and runs computer simulations to model and analyze the behavior of complex systems. Simulation Engineers develop mathematical models to simulate physical phenomena. This course may be useful for Simulation Engineers because MATLAB is used in simulation. The course’s coverage of matrices, loops, and function creation may be useful for anyone doing simulation.

See salaries and explore the career path for Simulation Engineer

Mathematical Modeler

Mathematical Modelers create and analyze mathematical models to understand and predict real-world phenomena. This course may be useful for Mathematical Modelers because MATLAB is a tool for implementing and simulating mathematical models. The course’s coverage of matrices, loops, and function creation may be useful for anyone doing mathematical modeling. The course’s modules on data visualization might also be very helpful.

See salaries and explore the career path for Mathematical Modeler

Control Systems Engineer

Control Systems Engineers design and implement systems that control dynamic processes. A Control Systems Engineer uses software and mathematical models to understand dynamic systems. MATLAB is widely used in this field for simulation, modeling, and control design. This course may be useful for Control Systems Engineers because it provides a comprehensive introduction to MATLAB, covering topics such as matrices, loops, and functions. This course is well targeted to anyone who wishes to be a Control Systems Engineer.

See salaries and explore the career path for Control Systems Engineer

Data Analyst

Data Analysts collect, process, and analyze data to identify trends and insights that can inform business decisions. This course may be useful for Data Analysts because it teaches MATLAB. The course’s modules on data import, cleaning, and statistical analysis would be beneficial for data analysis tasks. Data Analysts who need to analyze numerical data may find this course useful.

See salaries and explore the career path for Data Analyst

Quantitative Analyst

Quantitative Analysts, often working in finance, develop and implement mathematical models for pricing securities, managing risk, and making trading decisions. The Quantitative Analyst typically needs to develop bespoke functions for financial analysis. This course may be useful for Quantitative Analysts as it covers topics such as matrix operations, data analysis, and algorithm design. The course’s focus on numerical computing and data visualization may be helpful for financial modeling and analysis.

See salaries and explore the career path for Quantitative Analyst

Image Processing Engineer

An Image Processing Engineer works with algorithms to manipulate and analyze images. This course helps build a foundation for understanding how images are represented as matrices and how to process them using MATLAB. This course, with its coverage of matrices and data visualization, may be useful for understanding image manipulation techniques. Image Processing Engineers should consider this course because it could help them to improve their programming and data analysis skills.

See salaries and explore the career path for Image Processing Engineer

Machine Learning Engineer

Machine Learning Engineers develop algorithms that allow computers to learn from data. Machine learning models often require extensive numerical computation and data analysis. The Machine Learning Engineer may find this course useful as it provides a practical introduction to MATLAB, covering topics like matrix manipulation, data visualization, and algorithm implementation. The course’s modules on conditional statements and loops may be helpful in machine learning.

See salaries and explore the career path for Machine Learning Engineer

Research Scientist

Research Scientists design and conduct experiments, analyze data, and publish findings in various fields. With this course, Research Scientists may find MATLAB to be a tool for data analysis, modeling, and simulation. The course covers essential MATLAB concepts, potentially helping Research Scientists manipulate data, create visualizations, and develop algorithms. The course's modules on data visualization and matrix manipulation may be helpful to scientists.

See salaries and explore the career path for Research Scientist

Robotics Engineer

A Robotics Engineer designs, develops, and tests robots and robotic systems. This course may be useful for a Robotics Engineer as MATLAB is frequently used for simulating and controlling robotic systems. Robotics Engineers need to be skilled in programming, mathematics, and control systems. With this course, you can create algorithms, simulate robot movements, and analyze sensor data. The course's sections on matrices, loops, and function creation are relevant to building complex control algorithms. The course may benefit engineers interested in robotics.

See salaries and explore the career path for Robotics Engineer

Financial Analyst

A Financial Analyst analyzes financial data, develops models, and provides insights to guide investment decisions. Financial analysts use software to analyze market trends and predict financial performance. This course on MATLAB may be useful because financial modeling often involves complex calculations and data analysis. Financial Analysts can use MATLAB to build models, perform statistical analysis, and visualize data. The course sections on variables, arithmetic operations, and data visualization provide a strong foundation for financial analysis tasks.

See salaries and explore the career path for Financial Analyst

Statistician

Statisticians collect, analyze, and interpret data to draw conclusions and make predictions. Statisticians often work on projects involving mathematical modeling and data mining. This course may be useful for Statisticians as it teaches data analysis and visualization techniques using MATLAB. The course may be useful for Statisticians because it covers handling variables, data visualization, and basic arithmetic operations.

See salaries and explore the career path for Statistician

Econometrician

Econometricians use statistical methods to analyze economic data and test economic theories. This course may be useful for Econometricians as it provides a foundation in MATLAB, a tool for econometric analysis. The course covers matrices, data visualization, and algorithm design. This course on MATLAB may be helpful for Econometricians.

See salaries and explore the career path for Econometrician

Software Engineer

Software Engineers design, develop, and test software applications. While this course focuses on MATLAB, which is not a general-purpose programming language, the programming concepts taught in the course can be applied to other languages. Software Engineers build fluency by repeatedly implementing complex models. The course’s coverage of variables, loops, conditional statements, and function creation may be useful for programmers of all kinds.

See salaries and explore the career path for Software Engineer

The Complete MATLAB Mastery - From a Beginner to an Expert

What's inside

Learning objectives

Syllabus

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Reviews summary

Complete matlab foundation with practical projects

Activities

Career center

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