Master MATLAB through Guided Problem Solving | Matlab Tutorials For Beginners

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Course Link- Master MATLAB through Guided Problem Solving

Become an expert in MATLAB Programming and Scientific Computing. Advance your career in Engineering Physics Biology etc

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What you’ll learn
  • Beginning to advanced MATLAB programming proficiency. This is *the only course* that develops intermediate and advanced programming skills.
  • Obtain real-world application experience that that researchers and industry professionals use MATLAB for, including signal processing, matrix decompositions, spectral analysis, linear and nonlinear model-fitting, and statistics.
  • Gain skills to solve challenging problems in MATLAB, as opposed to memorizing syntax rules.
Prerequisite to take this Course:
  • A computer with MATLAB or Octave installed.
  • Many people have access to MATLAB through their school, university, or company.
  • MATLAB also offers student licenses and free 30-day trials.
  • Octave is a free cross-platform scientific computing environment that has nearly identical functionality as MATLAB.
  • Some previous experience with MATLAB programming is desirable.
  • This course starts from the basics but builds quickly to intermediate/advanced programming levels.
  • Previous experience with other programming languages will be beneficial but is not necessary.
Course Description By Instructor-

MATLAB is the premier programming language of scientific computing in university, research, and industry.

Excellent MATLAB programming skills can make or break a career in engineering, physics, biology, finance, and many other fields.

But how do you learn how to program in MATLAB? Sure, you can watch some tutorial videos online, but those videos generally focus on the most basic coding skills, like what is a variable and how to write a for-loop.

Those are important foundations, but they won’t make you competitive. If you want to be competitive, you need to become a master at MATLAB programming. And that’s what you’ll learn in this course.

This course is different from other MATLAB programming courses!

Rather than having short videos that presents a simple piece of MATLAB syntax, this course starts from the real-world perspective: Problems in data science that you can solve with MATLAB.

Do you need to learn how to filter your signal in MATLAB?  There’s a section for that!

Do you have a complicated formula and you need to translate it into MATLAB code and make a graph that simulates the formula with different parameters? Yeah, there’s a section on that as well!

Do you need to make a movie of a 3D simulation changing in color over time and then export as an .avi file? This course covers that as well!

Maybe you want to learn how to make textured landscapes using fractal math, or use SVD to compute the low-rank approximation of a data matrix, or use nonlinear search methods to fit a 3-parameter Gaussian model to data? You guessed it — it’s all covered in this course!

If you are looking for a slow, gentle course that will take baby-steps to teach you what you could have learned on your own, then this is not that course.

If you want to gain confidence in solving real-world problems in MATLAB coding to advance your studies, your research, and your career by learning MATLAB programming from a single course with >35 hours of hands-on instruction from a world-class scientist, teacher, and writer, then this course is definitely right for you.

Key topics covered.

  • The basic stuff: loops, functions, IO, etc. Core skills you need to be able to progress with MATLAB.

    The more intermediate and advanced topics in the course include:

  • 2D and 3D plotting, and data animations (movies)
  • Image and time series segmentation
  • Calculus and differential equations
  • Univariate and multivariate time series cleaning and analysis
  • Spectral (Fourier) and time-frequency analyses
  • Linear algebra including eigendecomposition, orthogonalization, and principal components analysis
  • Generating fractal pictures and time series
  • Nonparametric statistics and nonlinear model fitting

Get started today!

Who is the target audience?
  • Anyone looking to build a career in engineering, physics, biology, finance, and many other fields by building Excellent MATLAB coding skills
  • Anyone wanting to progress beyond watching simple MATLAB tutorials to actually becoming an expert in MATLAB programming by solving real problems in scientific computing

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