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Tod Vachev

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

Read more

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.

Enroll now

What's inside

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
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Variables and Basic Functions in MATLAB
Variables Intro
Types in MATLAB
Naming Conventions
The Semicolon Operator
Basic Arithmetic Operations in MATLAB
Customizing a Plot - Color, LineStyle, LineWIdth, Markers and More
Order of Operations - Brackets, Become a Master of Brackets
The Basics of Vectors in MATLAB
Intro to Vectors - What are Vectors?
Arithmetic Operations On Vectors
Concatenating Vectors
The Basics of Matrices in MATLAB
Intro to Matrices
Arithmetic Operations on Matrices
Data VIsualization - Visualize Your Data in a Meaningful Way, Express Yourself
Creating a Basic Plot
Conditional Statements - Control the Flow Of Your Code
The Logical Operators Explained
Introduction to Conditional Statements - If/Else With Relational Operators
Loops - Write Less Code
How A Loop Works
Indexing a Vector with a For Loop
Functions - Reuse Code
What is a Function?
Your First Function - Input Arguments on Functions
Bonus Section
Bonus Lecture: Get My Other Courses With a Discount and Further Your Knowledge

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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 MATLAB Basics for Beginners - Learn from Top Experts with these activities:
Review Linear Algebra Fundamentals
Reinforce your understanding of linear algebra concepts, which are foundational for working with matrices and vectors in MATLAB.
Browse courses on Linear Algebra
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  • Review basic matrix operations like addition, subtraction, and multiplication.
  • Practice solving systems of linear equations.
  • Familiarize yourself with vector spaces and linear transformations.
MATLAB for Dummies
Get a gentle introduction to MATLAB programming with a beginner-friendly guide.
View MATLAB For Dummies on Amazon
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  • Read the introductory chapters to get familiar with the MATLAB environment.
  • Work through the examples and exercises in the book.
  • Experiment with the code and try to modify it to solve different problems.
Practice Matrix Manipulation Exercises
Solidify your understanding of matrix operations by working through a series of targeted exercises.
Show steps
  • Find online resources or textbooks with matrix manipulation problems.
  • Practice creating, indexing, and modifying matrices in MATLAB.
  • Work through exercises involving matrix addition, subtraction, multiplication, and transposition.
Four other activities
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Show all seven activities
Mastering MATLAB
Expand your knowledge of MATLAB programming with a comprehensive guide that covers advanced topics and techniques.
View Mastering MATLAB on Amazon
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  • Read the chapters relevant to the course topics.
  • Work through the examples and exercises in the book.
  • Experiment with the code and try to modify it to solve different problems.
Create a Data Visualization Portfolio
Showcase your data visualization skills by creating a portfolio of plots and charts using MATLAB.
Show steps
  • Choose several datasets to visualize.
  • Create different types of plots (line plots, scatter plots, bar charts, etc.) for each dataset.
  • Customize the appearance of your plots to make them visually appealing and informative.
  • Write a brief description of each plot, explaining the insights it reveals.
Create a MATLAB Function Library
Build a personal library of reusable MATLAB functions to streamline your future projects.
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  • Review the functions you've created during the course.
  • Organize the functions into logical categories.
  • Document each function with clear descriptions of its inputs, outputs, and purpose.
  • Test each function thoroughly to ensure it works correctly.
Develop a Simple Simulation
Apply your MATLAB programming skills to develop a simulation of a real-world system.
Show steps
  • Choose a system to simulate (e.g., a bouncing ball, a simple pendulum, or a queuing system).
  • Develop a mathematical model of the system.
  • Implement the model in MATLAB using conditional statements, loops, and functions.
  • Visualize the results of the simulation using MATLAB's plotting capabilities.

Career center

Learners who complete MATLAB Basics for Beginners - Learn from Top Experts will develop knowledge and skills that may be useful to these careers:
Data Scientist
The job of a Data Scientist involves analyzing complex data sets to extract meaningful insights and develop data-driven solutions. This course may be useful for aspiring data scientists, as MATLAB is a powerful tool for numerical computing, data analysis, and visualization. The course focuses on using MATLAB to manipulate matrices, visualize data, and implement algorithms. The data visualization aspects of the MATLAB course are applicable Data Scientists, allowing them to communicate findings effectively. By teaching the basics of MATLAB, this course helps build a foundation for more advanced data science techniques.
Control Systems Engineer
A Control Systems Engineer designs and implements systems that control the behavior of dynamic systems, such as those found in aerospace, automotive, and manufacturing industries. This course may be useful for a control systems engineer, as MATLAB is a standard tool for modeling, simulating, and analyzing control systems. The course introduces essential concepts, including matrix operations, data visualization, and programming constructs like conditional statements and loops. Control systems heavily use matrix representations and often need simulation and modeling which can be aided by the knowledge found in this course. This course provides an introduction to MATLAB, enabling them to design and optimize control algorithms effectively.
Data Analyst
The job of a Data Analyst involves collecting, processing, and analyzing data to extract insights and support decision-making. The course may be useful, as it introduces MATLAB, a tool used for data analysis and visualization. The course covers matrix operations, data visualization, and basic programming, all relevant to data analysis tasks. Data Analysts will find that the sections on visualizing data assist them in communicating their findings effectively. This course helps build a foundation for data analysis using MATLAB.
Machine Learning Engineer
A Machine Learning Engineer develops and implements machine learning algorithms and systems. This course may be useful to machine learning engineers, as it introduces MATLAB, which is used for prototyping, simulating, and deploying machine learning models. The course covers essential topics such as matrix operations, data visualization, and programming with conditional statements and loops. The ability to handle matrices and visualize data, as taught in the course, is crucial for machine learning tasks. This course may help build a foundation for understanding and implementing machine learning algorithms in MATLAB.
Signal Processing Engineer
A Signal Processing Engineer designs and develops algorithms for processing signals, such as audio, image, and communication signals. This course may be useful because MATLAB is a standard tool for signal processing, analysis, and algorithm development. The course introduces fundamental matrix operations, data visualization, and programming constructs. The Signal Processing Engineer will benefit from the lessons on matrices, and vectors. This course may help build a foundation for using MATLAB in signal processing applications.
Quantitative Analyst
A Quantitative Analyst develops and implements mathematical models for pricing derivatives, managing risk, and optimizing trading strategies. This career typically requires an advanced degree. This course may be useful for quantitative analysts, who often use software like MATLAB to perform calculations. The course covers matrix operations, data visualization, and programming with conditional statements and loops. The sections of the course dedicated to vectors and matrices are particularly relevant. This course may help build a foundation for quantitative analysis tasks.
Research Scientist
A Research Scientist conducts experiments, analyzes data, and publishes findings to advance scientific knowledge. Research Scientists require methods for data analysis. This course may be useful because MATLAB is a powerful tool for numerical computing, data analysis, and visualization in various scientific fields. The course teaches the fundamentals of matrix operations, data visualization, and programming, which are essential for analyzing experimental data and creating models. For a Research Scientist, this course provides a hands-on introduction to a valuable tool for scientific research.
Robotics Engineer
A Robotics Engineer designs, develops, tests, and maintains robots and robotic systems. This course may be useful for robotics engineers because it covers the essentials of MATLAB, a software widely used in robotics for simulation, control, and data analysis. Key topics covered in the course, such as matrix operations, data visualization, and programming with conditional statements, are fundamental for developing robot control algorithms and simulating robot behavior. Robotics Engineers will find applications for the functions section of this course. MATLAB’s ability to handle matrices of various dimensions, as highlighted in the course, is invaluable for representing and manipulating robot kinematics and dynamics.
Climate Modeler
The job of a Climate Modeler is to develop and use computer models to understand and predict climate patterns and changes, which requires strong programming skills. This career typically requires an advanced degree. This course may be useful for climate modelers, as MATLAB is used for climate data analysis, visualization, and model development. The course covers the fundamentals of matrix operations, data visualization, and programming. Climate modelers will find utility knowing how to handle matrices with many dimensions. This course may help build a foundation for using MATLAB in climate modeling.
Image Processing Engineer
An Image Processing Engineer develops algorithms and systems for processing and analyzing images. This course may be useful for image processing, as MATLAB is a prevalent tool for image manipulation, enhancement, and analysis. Covering matrix operations, data visualization, and programming fundamentals, the course provides a solid foundation for image processing tasks. Since a monochromatic image's gradation is represented as a two dimensional matrix, Image Processing Engineers will appreciate how the course discusses matrices. The ability to perform matrix operations and visualize data in MATLAB is crucial for image processing workflows.
Financial Analyst
A Financial Analyst analyzes financial data, provides insights, and makes recommendations to guide investment decisions. This course may be useful for financial analysts because MATLAB can be used for financial modeling, data analysis, and risk management. The course focuses on data visualization, arithmetic operations, and the use of conditional statements, all of which are relevant to financial analysis tasks. Financial data is often represented in vectors and matrices, and the skills acquired can be applied to manipulate and analyze financial datasets. For a Financial Analyst, this course helps build a foundation for understanding and applying quantitative methods in finance.
Biomedical Engineer
A Biomedical Engineer applies engineering principles to solve medical and biological problems, often involving data analysis and modeling. This course may be useful because MATLAB is used for processing biomedical signals, analyzing medical images, and simulating biological systems. With coverage of matrix operations, data visualization, and programming constructs, the course helps build a foundation for these tasks. The data visualization tools may be useful to Biomedical Engineers when communicating findings. Furthermore, the basics of conditional statements as taught in the course may be useful for signal processing.
Acoustic Engineer
The role of an Acoustic Engineer is to design, analyze, and control sound and vibration. This course may be useful because MATLAB is used for signal processing, acoustic modeling, and data analysis in acoustics. It covers essential matrix manipulations, data visualization, and programming constructs. Acoustic Engineers can benefit from the matrix operations and data visualization skills taught in the course, enabling them to analyze sound data effectively. In addition to acoustic analysis, the knowledge in this course helps build a foundation for acoustic modeling and simulation.
Structural Engineer
A Structural Engineer designs and analyzes structures to ensure their safety and stability. This course may be useful if you want to become a structural engineer, seeing as MATLAB is used for structural analysis, simulations, and data processing. The course covers matrix operations, data visualization, and programming fundamentals, all relevant to structural engineering tasks. The understanding of matrices gained in the course is essential for representing structural models and performing calculations. This course may help build a foundation for using MATLAB in structural engineering applications.
Econometrician
An Econometrician uses statistical methods to analyze economic data and test economic theories, often requiring advanced mathematical and computational skills. This career typically requires an advanced degree. This course may be useful because MATLAB is frequently used in econometrics for data analysis, model estimation, and simulation. The course covers data visualization, arithmetic operations, conditional statements, and loops, all relevant for econometric modeling. For example, the conditional statements section in the course may be useful for modeling economic rules. This course may help build a foundation for using MATLAB in econometric research.

Reading list

We've selected two books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in MATLAB Basics for Beginners - Learn from Top Experts.
Comprehensive guide to MATLAB programming, covering a wide range of topics from basic syntax to advanced techniques. It is particularly useful for students who want to deepen their understanding of MATLAB and learn how to use it for more complex tasks. This book is commonly used as a textbook at academic institutions. It provides additional depth to the existing course.
Provides a gentle introduction to MATLAB for beginners. It covers the basic concepts and syntax of MATLAB in a clear and concise manner. It is particularly useful for students who have no prior programming experience. This book is more valuable as additional reading than it is as a current reference.

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