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Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors
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Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

This course is part of Linear Algebra from Elementary to Advanced.

Course Cost

Free course

Intermediate

Skill Level

12 Hours

Self-paced lessons

This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Linear Algebra from Elementary to Advanced Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.

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4.8

2,743 Enrolled

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English

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olive-leaves-logo

4.8

2,743 Enrolled

olive-leaves-logo

English

What you'll learn

  • Understand matrix operations and inverse matrices

  • Master determinant calculations and their applications

  • Analyze eigenvalues and eigenvectors of matrices

  • Study matrix diagonalization and its implications

  • Apply concepts to Markov Chains and PageRank algorithm

Skills you'll gain

Matrix Operations
Determinants
Eigenvectors
Linear Transformations
Subspaces
Diagonalization
Markov Chains
PageRank Algorithm
Mathematical Proofs
Vector Spaces

This course includes:

3.8 Hours PreRecorded video

18 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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Get a Completion Certificate

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Certificate

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

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There are 6 modules in this course

This advanced course explores matrix algebra, determinants, and eigenvectors as tools for understanding linear transformations. Students learn to manipulate matrices algebraically, analyze invertible matrices, and study subspaces in R^n. The curriculum covers eigenvalues and eigenvectors, with applications to Markov Chains and the Google PageRank Algorithm. Through theoretical understanding and practical examples, students develop skills essential for advanced mathematics, data science, machine learning, and dynamical systems.

Matrix Algebra

Module 1 · 2 Hours to complete

Subspaces

Module 2 · 2 Hours to complete

Determinants

Module 3 · 3 Hours to complete

Eigenvectors and Eigenvalues

Module 4 · 2 Hours to complete

Diagonalization and Linear Transformations

Module 5 · 2 Hours to complete

Final Assessment

Module 6 · 1 Hours to complete

Fee Structure

Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: Linear Algebra from Elementary to Advanced

Reviews

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

Linear Algebra: Matrix Algebra, Determinants, & Eigenvectors

Intermediate

Skill Level

12 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.