Practical MATLAB Skills

Coursera MOOC / Non-credit USD 49
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Practical MATLAB Skills

About this course

MATLAB is a powerful programming and numerical computing tool used widely across industries - from engineering and scientific research to data analysis. In this course, you’ll gain hands-on experience using MATLAB and will work with real-world data, build visualizations, and automate analysis. These skills serve as the foundation for advanced modeling and simulation in applications ranging from machine learning, deep learning, signal processing, communications, image processing, and control systems. Created by MathWorks, the developers of MATLAB, this course is regularly updated to reflect current best practices and new features. You’ll explore real examples and complete interactive exercises to answer questions like: • How far does a blue whale swim each day? • What’s the most popular pizza topping in a restaurant? • How does ride quality vary with car suspension design? • What factory failure causes the highest cost? • How does earthquake magnitude affect tsunami strength? No prior MATLAB or programming experience is required. For the duration of the course, you will have free access to MATLAB, allowing you to practice in the same environment used by top companies around the world. After completion, you’ll earn the "Foundational MATLAB" verified digital credential, which you can use to showcase your skills on LinkedIn or with employers. The course also serves as an entry to the MathWorks Certified MATLAB Associate certification for those seeking deeper validation of their capabilities with MATLAB for their career development.

What you'll learn

  • how to use MATLAB for programming and numerical computing
  • how to create visualizations and automate data analysis
  • understanding real-world applications of MATLAB in various industries

Course objectives

  • to provide foundational skills in MATLAB programming
  • to enable students to analyze and visualize data using MATLAB
  • to prepare students for advanced topics such as machine learning and data modeling

Skills you'll gain

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