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Linear Algebra for Data Science & Machine Learning A-Z 2025

Develop essential physical sciences skills with expert instruction and practical examples.

Online Course
Self-paced learning
Flexible Schedule
Learn at your pace
Expert Instructor
Industry professional
Certificate
Upon completion
What You'll Learn
Master the fundamentals of physical sciences
Apply best practices and industry standards
Build practical projects to demonstrate your skills
Understand advanced concepts and techniques

Skills you'll gain:

Professional SkillsBest PracticesIndustry Standards
Prerequisites & Target Audience

Skill Level

IntermediateSome prior knowledge recommended

Requirements

Basic understanding of physical sciences
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

Professionals working in physical sciences
Students and career changers
Freelancers and consultants
Anyone looking to improve their skills
Course Information

About This Course

DO YOU WANT TO LEARN LINEAR ALGEBRA IN AN EASY WAY. Great. With 22+ hours of content and 200+ video lessons, this course covers everything in Linear Algebra, from start till the end.

Every concept is explained in simple language, and Quizzes and Assignments (with solutions. ) help you test your concepts as you proceed. Whether you're a student, or a professional or a Math enthusiast, this course walks you through the core concepts of Linear Algebra in an easy and fun way.

HERE IS WHAT YOU WILL LEARN:· Fundamentals of Linear Algebra and how to ace your Linear Algebra exam· Basics of matrices, including notation, dimensions, types, addressing the entries etc. · Operations on a single matrix, e. g.

scalar multiplication, transpose, determinant, adjoint etc. · Operations on two matrices, including addition, subtraction and multiplication· Performing elementary row operations and finding Echelon Forms (REF & RREF)· Inverses, including invertible and singular matrices, and the Cofactor method· Solving systems of equations using matrices & inverse matrices, including Cramer's rule to solve AX = B· Performing Gauss-Jordan elimination· Properties of determinants and how to utilize them to gain insights· Matrices as vectors, including vector addition and subtraction, Head-to-Tail rule, components, magnitude and midpoint of a vector· Linear combinations of vectors and span· Vector spaces, including dimensions, Euclidean spaces, closure properties and axioms· Subspace and Null-space of a matrix, matrix-vector products· Spanning set for a vector space and linear dependence· Basis and standard basis, and checking if a set of given vectors forms the basis for a vector space· Eigenvalues and Eigenvectors, including how to find Eigenvalues and the corresponding Eigenvectors· Basic algebra concepts (as a BONUS)· And so much more…. HERE IS WHAT YOU GET IN THE COURSE:Video Lessons: Watch over my shoulder as I explain all the Linear Algebra concepts in a simple and easy to understand language.

Provider
Udemy
Estimated Duration
10-20 hours
Language
English
Category
Science & Academia

Topics Covered

Physical SciencesMachine LearningData Science

Course Details

Format
Online, Self-Paced
Access
Lifetime
Certificate
Upon Completion
Support
Q&A Forum
Course Details
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This course includes:

Lifetime access to course content
Access on mobile and desktop
Certificate of completion
Downloadable resources

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