MATLAB Master Class: Go from Beginner to Expert in MATLAB

• May 17, 2020

This course starts at a true beginner level which allowed me to follow the course very easily. As you can see from the outline, this course is divided into 6 parts and covers a broad range of topics ranging from total beginner=level basics to machine learning and GUI.

• Part 1 which deals with basic concepts on variables and matrices can be learned faster using more text-based resources. Anybody with even a minimal familiary with the coding may find the Part1 few lectures slow.
• Part2 covers data structures. Prior to this lecture, I had zero knowledge on different types of data and how they are stored so I found Part 2 very helpful.
• Part3, 4 covers Machine Leaning but I (along side many others) would much rather recommend Andrew Ng's course on Coursera which goes through much more in-depth theoretical concepts behind machine learning (or better still get a book). What this course is good at is that it guides you through setting up a ML template with MATLAB and explores some of the ML functions already available in MATLAB so you can apply them right away. However, if you want to learn more than a few MATLAB ML tricks, you would definitely need other resources.
• Part5 gives a good overview of Regular Expressions. This was the first time I was learning about regular expressions so I liked doing the exercises, but again this was one of the topics that I think someone could have gone through a lot faster with a reference webpage, rather than a video lecture.
• This lecture's last topic is on GUI which I think was a good lesson if you want to learn how to make a GUI app with MATLAB. After a couple of tweaking with a few items on the GUI, you can easily pick up the idea of how to customize your own app.
Overall, I think this was a good introductory MATLAB course for total beginners who prefer video lectures to keep them motivated.