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Updated in [April 29th, 2023]

This course, MATLAB Basics for Beginners - Learn from Top Experts, is designed to help learners gain a working knowledge of MATLAB. It is suitable for both beginners and those with some experience in MATLAB. The course is led by Hristo Zhivomirov, one of the top 50 MATLAB contributors Worldwide.

The course covers topics such as customizing MATLAB to one's preferences, performing various arithmetic operations, understanding vectors and matrices, basic data visualization, basic conditional statements, basic loops, and basic functions.

By the end of the course, learners will have a better understanding of MATLAB and be able to work with variables, vectors, matrices, and data visualization. They will also be able to use conditional statements, loops, and functions to control the flow of their code and write less code.

Source code files are provided at the end of each section for learners to download and review.

This course will transform learners from MATLAB novices into MATLAB masters.

[Applications]
After completing this course, students will have a working knowledge of MATLAB and be able to customize it to their preferences. They will be able to perform various arithmetic operations, understand vectors and matrices, and create basic data visualizations, conditional statements, loops, and functions. Students will also be able to think in vectors and matrices, and optimize their code to run faster. With this knowledge, students can apply MATLAB to a variety of tasks, such as analyzing data, creating visualizations, and automating processes.

[Career Paths]
The career paths recommended to learners of this course are:

1. MATLAB Developer: MATLAB developers are responsible for developing software applications using the MATLAB programming language. They must have a strong understanding of the MATLAB language and be able to create efficient and effective code. They must also be able to debug and troubleshoot any issues that arise. The demand for MATLAB developers is increasing as more companies are using MATLAB for data analysis and machine learning.

2. Data Scientist: Data scientists use MATLAB to analyze large datasets and uncover insights. They must have a strong understanding of the MATLAB language and be able to create efficient and effective code. They must also be able to debug and troubleshoot any issues that arise. Data scientists must also have a strong understanding of statistics and machine learning algorithms.

3. Machine Learning Engineer: Machine learning engineers use MATLAB to develop and deploy machine learning models. They must have a strong understanding of the MATLAB language and be able to create efficient and effective code. They must also be able to debug and troubleshoot any issues that arise. Machine learning engineers must also have a strong understanding of machine learning algorithms and be able to deploy them in production.

4. AI Engineer: AI engineers use MATLAB to develop and deploy AI applications. They must have a strong understanding of the MATLAB language and be able to create efficient and effective code. They must also be able to debug and troubleshoot any issues that arise. AI engineers must also have a strong understanding of AI algorithms and be able to deploy them in production.

[Education Paths]
Recommended degree paths for learners of this course include:

1. Bachelor of Science in Computer Science: This degree path provides students with a comprehensive understanding of computer science fundamentals, including programming languages, algorithms, data structures, and software engineering. It also covers topics such as artificial intelligence, machine learning, and computer graphics. This degree is becoming increasingly popular as the demand for computer science professionals continues to grow.

2. Master of Science in Data Science: This degree path focuses on the application of data science techniques to solve real-world problems. It covers topics such as data mining, machine learning, and predictive analytics. Students learn to use data to make decisions and develop strategies for businesses and organizations. This degree is becoming increasingly popular as the demand for data science professionals continues to grow.

3. Master of Science in Artificial Intelligence: This degree path focuses on the development of intelligent systems and their applications. It covers topics such as natural language processing, computer vision, robotics, and machine learning. Students learn to design and develop intelligent systems that can interact with humans and the environment. This degree is becoming increasingly popular as the demand for artificial intelligence professionals continues to grow.

4. Doctor of Philosophy in Computer Science: This degree path provides students with an in-depth understanding of computer science fundamentals, including programming languages, algorithms, data structures, and software engineering. It also covers topics such as artificial intelligence, machine learning, and computer graphics. This degree is becoming increasingly popular as the demand for computer science professionals continues to grow.