Master MATLAB through Guided Problem Solving (Udemy)

If you have some MATLAB experience but wish to improve your MATLAB programming skills, Master MATLAB through Guided Problem Solving is the book for you! Real-world applications such as signal processing, matrix decompositions, spectral analysis, linear and nonlinear model fitting, and statistics will be covered. In addition, you will work on data science projects in MATLAB. To get the most out of this course, you should be familiar with MATLAB or another programming language.

The course begins with a review of MATLAB fundamentals such as loops, functions, I/O, and so on. Then, you'll apply what you've learned by working on small tasks like translating formulas like the Sigmoid function and Euler's Formula into MATLAB code. Descriptive statistics, such as variance and standard deviation, will also be covered. After you've mastered the fundamentals, you'll progress to the more intermediate and advanced topics in the course. For example, you'll learn how to draw and animate 2D and 3D graphs, as well as picture and time-series segmentation. You'll also learn how to design a graphical user interface (GUI) for the user to input values and experiment with.

You'll then learn how to utilize MATLAB to solve calculus and differential equations, as well as clean and analyze univariate and multivariate time series datasets, using spectral (Fourier) and temporal-frequency analysis to uncover hidden insights from data. Following that, the course delves into linear algebra, including eigendecomposition, orthogonalization, and principal component analysis. You'll create fractal time series and graphics before diving into non-parametric statistics and non-linear model fitting. This course contains 38 hours of content. You'll mostly learn by viewing lecture videos, completing the course programming exercises, and engaging in the Q&A forums. In case you're wondering, Mike X Cohen (the instructor) is active there and answers questions.

Fun Facts

• Mike X Cohen is a neuroscientist (brain scientist) and associate professor at the Radboud University in the
• Netherlands. He has over 20 years of experience teaching programming, data analysis, signal processing, statistics, linear algebra, and experiment design.
• He has over 160K students and 20 courses on Udemy, ranging from Python to linear algebra.

Organization: Tim Buchalka’s Learn Programming Academy
Provider: Udemy
Instructor: Mike X Cohen
Level: Intermediate
Workload: 38 hours total
Enrollments: 20K
Google Rating: 4.6 / 5.0
Certificate: Paid

Enroll here: udemy.com/course/master-matlab-through-guided-problem-solving/