Self-Paced Training

Self-paced training through MATLAB Academy™ lets you learn anytime, anywhere. MATLAB Academy grants you access to professionally developed training materials which will enable you to enhance your MATLAB knowledge and skills interactively, at your own pace. MATLAB Academy courses include demonstrations, quizzes, and hands-on MATLAB practice sessions. Course content is provided in short modules, so you can jump to the topics you want to learn most.

To participate in these classes, you’ll need to have internet access and meet a few other requirements.

The following courses are available through MATLAB Academy:

MATLAB Onramp (Free)

This course is complimentary and provides an overview of the MATLAB programming language.

The MATLAB ® Onramp course provides a brief introduction to MATLAB. Learn language syntax and understand common MATLAB workflows interactively and at your own pace.

MATLAB Fundamentals

A comprehensive introduction to the MATLAB technical computing environment. Themes of data analysis, visualization, modeling, and programming are explored.

Preview the self-paced environment where you can learn to import, analyze, and visualize data in MATLAB by watching lectures and demonstrations and completing exercises and quizzes at your own pace.

MATLAB Programming Techniques

Learn to write efficient, robust, and well-organized code. Details of performance optimization, as well as tools for writing, debugging, and profiling code are covered.

Preview the self-paced environment where you can learn to write efficient and robust code by watching lectures and demonstrations and completing exercises and quizzes at your own pace.

MATLAB for Data Processing and Visualization

The course is intended for data analysts and data scientists who need to automate the processing, analysis, and visualization of data from multiple sources.

Preview the self-paced environment where you can learn to use MATLAB ® for data processing and visualization by watching lectures and demonstrations and completing exercises and quizzes at your own pace.

MATLAB for Financial Applications

Themes of data analysis, visualization, modeling, and programming are explored throughout the course, with an emphasis on practical application to finance, such as time-series analysis, Monte Carlo simulation, portfolio management, and analysis.

Preview the concepts and features taught in our new MATLAB ® for Financial Applications course.

Machine Learning with MATLAB

The course demonstrates the use of unsupervised learning to discover features in large data sets and supervised learning to build predictive models.

Preview this self-paced course and see how you can use unsupervised learning to discover features in large data sets and supervised learning to build predictive models.

Map Out Your Learning Path

Taking courses in a recommended order can help accelerate your proficiency with MATLAB and Simulink.