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Mathematics for Data Science: Linear Algebra with Matlab

February 18, 2024 8:53 am

Mathematics for Data Science: Linear Algebra with MATLAB

Build a solid mathematical foundation for machine learning and AI through this hands-on linear algebra with MATLAB course. Learn essential concepts like vectors, matrices, and transformations using MATLAB to solve real-world problems in data science and analytics. This beginner-friendly course is ideal for students, researchers, and professionals who want to apply linear algebra practically in data science projects.

What You’ll Learn

Understanding vectors, matrices, and matrix operations
Solving systems of linear equations using MATLAB
Eigenvalues, eigenvectors, and matrix decompositions
Linear transformations and their geometric interpretation
Applications of linear algebra in data science
MATLAB programming essentials for mathematical modeling
Working with large datasets and visualizations in MATLAB

Requirements

Basic knowledge of high school mathematics
No prior programming experience needed (MATLAB basics will be covered)
MATLAB installed or access to MATLAB Online

Course Description

This linear algebra with MATLAB course bridges the gap between theoretical mathematics and real-world data applications. You’ll begin with fundamental matrix operations and quickly progress to advanced topics like eigen decomposition and transformations — all within MATLAB’s interactive environment.

Through practical coding exercises, visual demonstrations, and real-life examples, you will gain the confidence to apply linear algebra techniques in fields such as machine learning, computer vision, and statistical modeling. With MATLAB’s built-in functions and powerful visualization tools, abstract concepts become intuitive and applicable.

By the end of the course, you’ll be comfortable using MATLAB to manipulate matrices, perform linear algebra operations, and visualize complex data — all crucial skills for any aspiring data scientist or engineer.

About the Instructor

This course was created by data science educators with extensive experience in engineering, mathematics, and MATLAB development. The course is structured to ensure even those without a coding background can follow along and build up their skills effectively.