Master MATLAB through Guided Problem Solving
Master MATLAB through Guided Problem Solving, available at $89.99, has an average rating of 4.86, with 170 lectures, based on 4069 reviews, and has 24615 subscribers.
You will learn about 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 This course is ideal for individuals who are Anyone looking to build a career in engineering, physics, biology, finance, and many other fields by building Excellent MATLAB coding skills or Anyone wanting to progress beyond watching simple MATLAB tutorials to actually becoming an expert in MATLAB programming by solving real problems in scientific computing It is particularly useful for Anyone looking to build a career in engineering, physics, biology, finance, and many other fields by building Excellent MATLAB coding skills or Anyone wanting to progress beyond watching simple MATLAB tutorials to actually becoming an expert in MATLAB programming by solving real problems in scientific computing.
Enroll now: Master MATLAB through Guided Problem Solving
Summary
Title: Master MATLAB through Guided Problem Solving
Price: $89.99
Average Rating: 4.86
Number of Lectures: 170
Number of Published Lectures: 168
Number of Curriculum Items: 170
Number of Published Curriculum Objects: 168
Original Price: $89.99
Quality Status: approved
Status: Live
What You Will 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
Who Should Attend
- 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
Target Audiences
- 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
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!
Course Curriculum
Chapter 1: Course Introduction
Lecture 1: (Important) How to Learn from this Course
Lecture 2: Stages of Learning Programming and Completing Projects
Lecture 3: pdf with complete lecture list and keywords
Lecture 4: Using the Q&A forum
Lecture 5: ALL MATLAB materials for the entire course in one zip file
Chapter 2: Getting Started
Lecture 1: Create, edit, and open scripts
Lecture 2: Write Comments in Lines and Blocks
Lecture 3: Using MATLAB for a Personal Budget
Lecture 4: Personalize MATLAB Colors
Lecture 5: Start MATLAB with an Encouraging Note
Chapter 3: Vectors and Variables
Lecture 1: Create Vectors and Matrices
Lecture 2: Unsolved: Valid and Invalid Matrices
Lecture 3: Working with Text (Characters and Strings)
Lecture 4: HTML Table from MATLAB Code
Lecture 5: Round pi to N significant Digits
Lecture 6: File/folder Information Using Structures
Chapter 4: Command Statements
Lecture 1: Create a Hilbert Matrix Using for-loops.
Lecture 2: Unsolved: Compare two while Loops
Lecture 3: Create an Upper-Triangular Matrix
Lecture 4: Random Count-Down Timer (Poisson-like)
Lecture 5: Display the day of 1 January
Chapter 5: Import and Export Data
Lecture 1: Save and Load Multiple Files
Lecture 2: Import Formatted Text Data
Lecture 3: Import Excel-format Data
Lecture 4: Convert US$ to Euros Using up-to-date Info
Chapter 6: Translate Formulas into Code
Lecture 1: Trig Functions and Gaussians
Lecture 2: Laplace and log-normal Distributions
Lecture 3: Complex Numbers and Euler's Formula
Lecture 4: Piecewise Functions
Lecture 5: Piecewise Function in one line of Code
Lecture 6: Sigmoid Function
Lecture 7: Unsolved: Sigmoid and Error Function
Lecture 8: Circular p-value and its Approximation
Chapter 7: Descriptive Statistics
Lecture 1: Compute Measures of Central Tendency
Lecture 2: Compute Variance and Standard Deviation
Lecture 3: Unsolved: Sort Data up and down
Lecture 4: Data Transformations (log, sqrt, rank)
Chapter 8: 2D Plotting
Lecture 1: Lines
Lecture 2: Bars and errorbars
Lecture 3: Dots
Lecture 4: Multidimensional Data with Colored Scatter
Lecture 5: Unsolved: imagesc vs. pcolor
Lecture 6: Histograms
Lecture 7: Uncertainty in Future Money (using patch)
Lecture 8: Blend Pictures Using Transparency
Lecture 9: Vertically Stacking Data Series
Lecture 10: Distance Matrix from Generated Points
Lecture 11: Gabor Patch Marginal Histograms
Lecture 12: List of other image-processing videos in this course
Chapter 9: 3D Plotting
Lecture 1: Sphere in a Cube
Lecture 2: Colorful Cube (a.k.a. the happy Borg ship)
Lecture 3: Expanding Wavelets with Surfaces
Lecture 4: Textured Gaussian Surfaces
Lecture 5: A Ball in 3D Color Space
Lecture 6: Plane in R3 Spanned by Two Vectors
Lecture 7: Complex Sinc Surface
Lecture 8: The Prickly Gabor Patch
Chapter 10: Segmentation
Lecture 1: Threshold-based Time Series Segmentation
Lecture 2: Derivative-based Time Series Segmentation
Lecture 3: Intensity-based Image Segmentation
Lecture 4: Identify Neurons in a Mouse Brain Slice
Chapter 11: Data Animations
Lecture 1: Random Floating Ball
Lecture 2: The Square Chases the Mouse
Lecture 3: The Magically Materializing Peaks
Lecture 4: Smooth Sailing: The Movie
Lecture 5: Real-time Audio Spectrum from Mic
Lecture 6: Möbius Transformation
Lecture 7: UFO on a Sandcastle
Chapter 12: Graphical User Interfaces
Lecture 1: Dialog Box for User Input
Lecture 2: Interface to Select a File
Lecture 3: Input and Message Boxes
Lecture 4: GUI to Create Random Landscapes
Lecture 5: GUIDE to Sigmoid Parameter Space
Chapter 13: Functions and Anonymous Functions
Lecture 1: Same-length Differentiation
Lecture 2: Damped Oscillator
Lecture 3: Unsolved: Damped Arcsine
Lecture 4: Find and Extract a Function Core
Lecture 5: Smooth Plotting Function with Options
Lecture 6: Unsolved: Zscore Function
Chapter 14: Find, Min, Max
Lecture 1: Find Point Closest to Specified Value
Lecture 2: Unsolved: Manual Peak-Picking
Lecture 3: Find Negative Extrema in a 2D Function
Lecture 4: Unsolved: Find Ridges of a 2D Surface
Lecture 5: Find Local Maxima
Lecture 6: Replace Image Pixels in an Intensity Range
Lecture 7: Find Signal Clipping Points
Instructors
-
Tim Buchalka's Learn Programming Academy
Professional Programmers and Teachers – 2M students -
Mike X Cohen
Educator and writer
Rating Distribution
- 1 stars: 38 votes
- 2 stars: 30 votes
- 3 stars: 267 votes
- 4 stars: 1333 votes
- 5 stars: 2401 votes
Frequently Asked Questions
How long do I have access to the course materials?
You can view and review the lecture materials indefinitely, like an on-demand channel.
Can I take my courses with me wherever I go?
Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!
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