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Linear Algebra - Complete Guide with Practical Examples

Master mathematics from fundamentals to advanced concepts with this comprehensive course.

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 mathematics
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 mathematics
Enthusiasm to learn
Access to necessary software/tools
Commitment to practice

Who This Course Is For

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

About This Course

Are you interested in learning more about linear algebra. Linear algebra is central to almost all areas of mathematics. For instance, linear algebra is fundamental in modern presentations of geometry, including for defining basic objects such as lines, planes, and rotations.

Also, functional analysis, a branch of mathematical analysis, may be viewed as the application of linear algebra to spaces of functions. If this sounds interesting to you then I encourage you to check out my blog or consider signing up for one of my classes on Udemy. This course gives you a broad overview of several concepts and practice problems of Algebra.

If you want to learn Algebra concepts from scratch and become an Algebra master, this course is for you. If you're looking to gain a solid foundation in Linear Algebra, allowing you to study on your own schedule at a fraction of the cost it would take at a traditional university, to further your career goals, this online course is for youThe course aims to introduce Real n-dimensional vector spaces, Abstract vector spaces and their axioms,Linear Transformations,Inner Product, Orthogonality, Cross product and their geometric applications,Subspaces, Lines Independence,Bases for Vector Spaces,Dimension, Matrix Rank, Eigen Vectors, Eigen Values, Matrix Diagonalization.

Provider
Udemy
Estimated Duration
20-40 hours
Language
English
Category
Science & Academia

Topics Covered

MathematicsUiComplete CourseHands-On Learning

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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