Master MATLAB through Guided Problem Solving
What you'll learn
- Intermediate to advanced MATLAB programming proficiency. This is *the only course* that develops intermediate and advanced programming skills.
- Experience with real-world applications including signal processing, matrix decompositions, spectral analysis, linear and nonlinear model-fitting, and statistic
- Gain skills to solve challenging problems in MATLAB, as opposed to memorizing syntax rules.
- Data science projects and problem-solving in MATLAB
Requirements
- 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 prior expose to MATLAB programming is highly recommended.
- This course starts from the basics but builds quickly to intermediate/advanced programming levels.
- Previous experience with other programming languages can be beneficial but is not necessary.
Description
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 for scientific computing or data science.
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!
There is no doubt that MATLAB is the premier programming language of scientific computing and data science in university, research, and industry.
The sooner you sign up for this course, the sooner you will be able to advance your career in engineering, physics, biology, finance (or other fields using MATLAB).
Why not get started today?
Click the Signup button to sign up for the course!
Who this course is for:
- 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
Featured review
Instructors
- 4.5 Instructor Rating
- 439,413 Reviews
- 1,531,884 Students
- 53 Courses
The Learn Programming Academy was created by Tim Buchalka, a software developer with 35 years experience, who is also an instructor on Udemy, with over 1.24M+ students in his courses on Java, Python, Android, C# and the Spring framework.
The Academy’s goal in the next three years, is to teach one million people to learn how to program.
Apart from Tim’s own courses, which are all available here, we are working with the very best teachers, creating courses to teach the essential skills required by developers, at all levels.
One other important philosophy is that our courses are taught by real professionals; software developers with real and substantial experience in the industry, who are also great teachers. All our instructors are experienced, software developers!
Our team is busy creating new courses right now.
Whether you are a beginner, looking to learn how to program for the very first time, or to brush up on your existing skills, or to learn new languages and frameworks, the Academy has you covered.
- 4.6 Instructor Rating
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- 22 Courses
I am a neuroscientist (brain scientist) and associate professor at the Radboud University in the Netherlands. I have an active research lab that has been funded by the US, German, and Dutch governments, European Union, hospitals, and private organizations.
But you're here because of my teaching, so let me tell you about that:
I have 20 years of experience teaching programming, data analysis, signal processing, statistics, linear algebra, and experiment design. I've taught undergraduate students, PhD candidates, postdoctoral researchers, and full professors. I teach in "traditional" university courses, special week-long intensive courses, and Nobel prize-winning research labs. I have >80 hours of online lectures on neuroscience data analysis that you can find on my website and youtube channel. And I've written several technical books about these topics with a few more on the way.
I'm not trying to show off -- I'm trying to convince you that you've come to the right place to maximize your learning from an instructor who has spent two decades refining and perfecting his teaching style.
Over 120,000 students have watched over 7,500,000 minutes of my courses. Come find out why!
I have several free courses that you can enroll in. Try them out! You got nothing to lose ;)
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By popular request, here are suggested course progressions for various educational goals:
MATLAB programming: MATLAB onramp; Master MATLAB; Image Processing
Python programming: Master Python programming by solving scientific projects; Master Math by Coding in Python
Applied linear algebra: Complete Linear Algebra; Dimension Reduction
Signal processing: Understand the Fourier Transform; Generate and visualize data; Signal Processing; Neural signal processing