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Essential Linear Algebra for Data Science
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Essential Linear Algebra for Data Science

This course is part of Expressway to Data Science: Essential Math.

Course Cost

Free course

Intermediate

Skill Level

6 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 Expressway to Data Science: Essential Math 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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4.4

8,750 Enrolled

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English

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olive-leaves-logo

4.4

8,750 Enrolled

olive-leaves-logo

English

What you'll learn

  • Solve real-world problems using matrices and understand their applications

  • Recognize matrix representations in n-dimensional space

  • Identify key properties of equation systems including independence and rank

  • Understand and apply projections in multiple dimensions

  • Master eigenvalues and eigenvectors for data analysis

Skills you'll gain

Linear Algebra
Matrix Operations
Gaussian Elimination
Eigenvalues
Vector Spaces
Linear Transformations
Least Squares
Projections
Data Science Mathematics

This course includes:

4.8 Hours PreRecorded video

13 quizzes

Access on Mobile, Tablet, Desktop

FullTime access

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Top companies offer this course to their employees

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 5 modules in this course

This comprehensive course introduces essential linear algebra concepts for data science applications. Beginning with fundamental matrix operations and Gaussian elimination, students progress through vector spaces, linear transformations, eigenvalues, and least squares methods. The curriculum emphasizes practical understanding over theoretical proofs, focusing on real-world applications in data science. Through video lectures and interactive quizzes, learners develop a strong foundation in linear algebra principles.

Linear Systems and Gaussian Elimination

Module 1 · 1 Hours to complete

Matrix Algebra

Module 2 · 1 Hours to complete

Properties of a Linear System

Module 3 · 2 Hours to complete

Determinant and Eigens

Module 4 · 1 Hours to complete

Projections and Least Squares

Module 5 · 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: Expressway to Data Science: Essential Math

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.

Essential Linear Algebra for Data Science

Intermediate

Skill Level

6 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.