Master Matrix Algebra: The Ultimate Linear Algebra Course
Learn the fundamentals you will need to understand advanced linear algebra concepts.
Ratings 5.00 / 5.00
What You Will Learn!
- Learn how to compute various properties of matrices & vectors.
- Learn how to solve a system of linear equations using 3 different methods.
- Learn how certain matrix operations apply to the real-world.
- Develop a strong mathematical foundation for working with data.
Description
Linear Algebra: Fundamentals of Matrix Algebra is designed to help you understand the fundamentals of Linear Algebra that will prepare you for more advanced courses in linear algebra.
You will learn how to perform a lot of matrix computations from scratch, which will be essential when learning more abstract concepts as well as applying these techniques to real-world datasets.
Topics covered include:
Vector Operations: Lengths, Normalization, Dot Products, Angles, Cross Products.
Matrix Operations & Types: Multiplication, Inversion, Reduced Row-Echelon Form
Systems of Equations: Gaussian Elimination, LU Decomposition, Cramers Rule
This course is intended for anyone that is currently taking a linear algebra course, pursuing a data science career, or any other career that uses linear algebra concepts.
This course will be followed up with a series on Linear Transformations & Vector Spaces, along with a course covering real-world applications. This is a pre-requisite to those courses and it is highly recommended that you complete this one first before moving on to the more advanced topics.
Ingenium Academy is an online learning platform aimed at providing best-in-class coverage of all math & science-related subjects. We pride ourselves on our breadth and depth of coverage of subjects and aim to fulfill this by continuing to produce more courses.
Who Should Attend!
- Aspiring Data Scientists
- Actively Employed Data Scientists
