Data Processing and Feature Engineering with MATLAB
4.5
Coursera2,236 learners
Learn More
This intermediate-level course combines data from multiple sources and times to lay the foundation for predictive modeling. MATLAB is used to process and engineer features, providing a useful tool for anyone interested in data analysis.
MATLAB for Absolute Beginners w&English Subtitles
1.5
Youtube4 learners
Learn More
This course provides an introduction to MATLAB for absolute beginners. It covers topics such as installation and resources, basic syntax, basic arithmetic, functions and constants, linear algebra, for loops, while loops, if/else statements, data types, plotting data, data analysis plots, loading and saving data, subplots, 3D plots, labeling plots, sound processing, signal processing, Fourier transform, low pass filters, image processing, image manipulation exercises, convolution, Gaussian image noise reduction, Gaussian filter blur and edge detection, introduction to probability, measuring probability, generating random values, birthday paradox, continuous variables, mean and variance, Gaussian (normal) distribution, hypothesis testing, 2 sample tests, multivariate Gaussian.
Numerical Analysis With Matlab
2.5
Youtube1 learners
Learn More
This course covers numerical analysis techniques using Matlab, including iterative methods for linear systems, Jacobi, Gauss Seidel, and relaxation. It also covers Newton and Lagrange interpolating polynomials, Trapezoid and Simpson's 1/3 Rule, and Newton Coates, with Matlab implementation. Students will gain a comprehensive understanding of numerical analysis techniques and their implementation in Matlab.
MATLAB Crash Course for Beginners
5.0
freeCodeCamp7 learners
Learn More
This course provides an introduction to MATLAB for beginners. It covers topics such as the MATLAB IDE, variables and arithmetic, matrices, arrays and linear algebra, the index, equations, anonymous functions, plotting, logic, random and looping functions, and more. Participants will gain a comprehensive understanding of the fundamentals of MATLAB and be able to apply them to their own projects.
1. Programming Courses: These online courses cover a wide range of programming languages such as Python, Java, C++, and more. They also teach students web development, software engineering, and other technical skills.
2. Business Courses: These courses cover topics such as entrepreneurship, marketing, accounting, and financial management. Students can learn about business strategy, banking, investment, and more.
3. Language Courses: Online courses in languages such as Spanish, French, Mandarin, and more are available for students looking to improve their language skills or learn a new language.
4. Healthcare Courses: These courses cover topics such as nursing, medical coding, healthcare management, and more. Students can also learn about public health, nutrition, and other related topics.
5. Arts & Design Courses: Online courses in graphic design, animation, photography, and other artistic subjects are available for students interested in creative fields.
6. Personal Development Courses: These courses cover topics such as time management, communication skills, mindfulness, and more to help students improve their personal and professional lives.
7. STEM Courses: Science, Technology, Engineering, and Mathematics (STEM) courses cover subjects such as biology, physics, engineering, and more. Students can learn about cutting-edge technologies and scientific advancements.
Click Allow to get free Matlab courses!