# Linear Algebra

Learn about linear algebra and how to perform operations with matrices and vectors.

Skill level

BeginnerTime to complete

Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary1 hourCertificate of completion

Included with paid plansPrerequisites

None

## About this course

In this unit, we will learn about the fundamentals of linear algebra, including how to perform mathematical operations using matrices and vectors. After learning how to do these operations mathematically, we will implement them in Python using NumPy arrays. To cap off the course, we will apply our knowledge in a project on image transformations.

## Syllabus

### Linear Algebra

Learn about the fundamentals of linear algebra!

## Linear Algebra course ratings and reviews

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- The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.ChrisCodecademy Learner @ USA
- I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA

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## Frequently asked questions about Linear Algebra

Linear algebra involves studying coordinates on a map or model of various factors and using them to calculate things. While it plays a big role in machine learning, it’s used in many different fields of programming.

## Join over 50 million learners and start Linear Algebra today!

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## Unlock additional features with a paid plan

### Practice Projects

Guided projects that help you solidify the skills and concepts you're learning.### Assessments

Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.### Certificate of Completion

Earn a document to prove you've completed a course or path that you can share with your network.