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
- 5 stars
- 4 stars
- 3 stars
- 2 stars
- 1 star
- 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
Our learners work at
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!
Looking for something else?
Related resources
- Article
What is Scikit-Learn?
Open-source ML library for Python. Built on NumPy, SciPy, and Matplotlib. - Article
Log Transformations (And More)
Learn when to use a log transformation of the dependent variable of your linear regression and how to interpret the resulting regression equation. - Article
Introduction to Pandas and NumPy
pandas and NumPy are very useful libraries in Python. Let's learn how to use them!
Related courses and paths
- Free course
Linear Regression in Python
Learn how to fit, interpret, and compare linear regression models in Python.Intermediate6 hours - Free course
Simple Linear Regression
Learn how to fit and interpret linear regression with a single predictor variableBeginner Friendly2 hours - Course
Learn Linear Regression with R
Learn about the difference between simple linear regression and multiple linear regression in RWith CertificateIntermediate3 hours
Browse more topics
- Python4,657,273 learners enrolled
- Data Science5,938,192 learners enrolled
- Math90,447 learners enrolled
- Code Foundations13,417,228 learners enrolled
- For Business9,877,769 learners enrolled
- Computer Science7,647,163 learners enrolled
- Web Development7,018,185 learners enrolled
- Cloud Computing4,221,418 learners enrolled
- Data Analytics4,035,376 learners enrolled
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.