- Dip your feet into the amazing world of using Python code to understand vectors and matrices.
- Free tutorial
- Rating: 4.9 out of 54.9 (511 ratings)
- 26,069 students
- 1hr 49min of on-demand video
- Created by Mike X Cohen
English
What you’ll learn
- Introduction to Python (no previous experience necessary!)
- How to use Python online (no installation necessary!)
- The basics of linear algebra
- How to use Python to learn mathematics
Requirements
- Willingness to spend 2-3 hours learning something new!
Description
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.
Who this course is for:
- Anyone new to coding or to linear algebra
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Course content
3 sections • 11 lectures • 1h 50m total lengthCollapse all sections
Getting started with Python4 lectures • 42min
- Getting started with Python06:41
- Variables and arithmetic12:48
- The numpy module09:34
- The matplotlib module13:22
Linear algebra6 lectures • 1hr 7min
- Vectors and scalar multiplication13:50
- The vector dot product09:06
- Matrices10:11
- Transposing vectors and matrices10:10
- Matrix multiplication11:21
- The matrix inverse12:16
Bonus section1 lecture • 1min
- Bonus material01:03
