MATLAB Fundamentals (MathWorks)

MATLAB Fundamentals ranks 3rd in the list of the best online MATLAB Courses. The preceding course has been replaced with MATLAB Fundamentals. In this section, you'll go deeper into MATLAB principles and capability for data analysis, visualization, modeling, and programming. As with the previous course, you will engage with a web-based version of MATLAB within their teaching environment, with no installation required! Anyone with a MATLAB account can access this course for free. You must have completed the previous course or have prior expertise with MATLAB to enroll in this course.


The session starts with an overview of the MATLAB desktop environment. Once you've mastered that, you'll begin by implementing a standard MATLAB analysis workflow in MATLAB. The initial step is to import data from many sources. The data will then need to be processed and calculated. Fortunately, arrays are useful data structures for storing linked data. You'll learn how to use mathematical and statistical procedures to create, manipulate, and obtain data from arrays. You can now create relevant data visualizations. Finally, to make your visualization stand out, you'll learn how to plot data in 2D and 3D graphs.


Tables are another approach to deal with data. You'll learn how to interact with data contained in a table, such as how to organize data, handle specific data kinds, and preprocess data. These jobs will assist you in doing common data analysis tasks in MATLAB, such as smoothing data and fitting polynomials. The course concludes with you writing MATLAB programs to automate and facilitate your job. You'll write adaptable code that can interact with the user, make decisions, and adjust to changing circumstances. You'll also wrap code in user-defined functions to make reusing and automating operations easier. Finally, you'll learn how to debug and troubleshoot your code.


This course lasts 17 hours. You'll learn by watching lecture videos and doing hands-on coding in the web-based MATLAB environment by completing tasks. There are also two review assignments to assist tie together and deepen what you've learned during the course.


Fun Facts

  • Erin Byrne is a training course developer at MathWorks. She has been developing MATLAB learning content for core programming skills, computational math, and workflows for data analytics, machine learning, and image processing.
  • The course is also available in a classroom format.

Institution: MathWorks
Provider: MATLAB Academy
Instructor: Erin Byrne
Level: Intermediate
Workload: 17 hours total

Google rating: 4.8/5.0

Certificate: Paid

Enroll here: mathworks.com/learn/training/matlab-fundamentals.html

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