Udemy

Python for linear algebra (for absolute beginners)

Name: Python for linear algebra (for absolute beginners)
Availability: InStock
Rating: 4.7 (734 reviews)

4.7(734)38k studentsBEGINNEREnglish

Korshub's take

Learn Linear Algebra by Coding It in Python

This course pairs two subjects many learners find intimidating — linear algebra and programming — and uses one to make the other easier. Rather than deriving proofs on paper, you'll use Python as a tool to explore vectors and matrices, the two core building blocks behind statistics, machine learning, AI, computer graphics, and more.

Who It's For

Built for absolute beginners with no prior exposure to Python or linear algebra. It's positioned as a short, low-commitment overview — about 2-3 hours total — to help you decide whether you want to go deeper into either subject.

Key Takeaways

A broad overview of major linear algebra topics rather than deep coverage of any single one
Hands-on use of Python to reinforce mathematical concepts as you learn them
Roughly 2 hours of video plus about an hour of practice problems
Taught by an instructor with close to 20 years of experience teaching data analysis, statistics, and signal processing

About this course

This course provides an introduction to using Python to learn linear algebra. It is designed for people who have no (or little) previous exposure to Python or to linear algebra.

What is linear algebra?

Linear algebra is the branch of mathematics that deals with vectors and matrices. A vector is a list of numbers, and a matrix is a spreadsheet of numbers.

That sounds really simple, but linear algebra is at the heart of nearly all applied mathematics, including statistics, machine learning, AI, deep learning, image processing, telecommunications, video games, computer graphics, biomedical signal processing, and the list goes on and on...

Why use Python to learn linear algebra?

Many people find math difficult but coding easier. You will be amazed at how much better you can learn math by using Python as a tool.

What will you learn in this course?

You will learn the basics of getting started with using Python and with using Python to learn mathematics. You'll see an overview of the major topics in linear algebra, although I do not go into a lot of depth on any particular topic.

By the end of this course, you will know enough to decide whether you want to learn more about Python and math.

What do you need to know before enrolling?

Well, you need to know how to use a computer. But you don't need to know anything about computer programming or linear algebra. The only thing you really *need* for this course is the willingness to dedicate 2-3 hours of your time to learning something new.

What do you have to lose?

The entire course takes 2-3 hours to complete (2 hours of video content, and about an hour to complete the practice problems). This is a great way to see whether you want to continue studying Python for math and linear algebra. And if you decide that this isn't right for you, then you only spent a few hours on it, rather than investing in tens of hours and money. Really, you have nothing to lose!

Who is your instructor?

I have been teaching data analysis, scientific programming, statistics, and signal processing for almost 20 years. I have several best-seller courses here on Udemy and my courses have well over 10,000 high-ranked reviews (don't believe me -- check out the reviews on this and my other courses!). I take online teaching seriously (although I let a few jokes slip through now and then...), and I remain actively involved in making sure my courses are high quality and up-to-date.