Dip your feet into the amazing world of using Python code to understand vectors and matrices.

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.

Python para álgebra lineal (para principiantes absolutos)

Dip your feet into the amazing world of using Python code to understand vectors and matrices.”

Este curso es GRATIS

Curso gratis en Udemy

Con los cursos gratis de Udemy puedes aprender muchas cosas sin tener que gastar en ello. Pero primero debes tener en cuenta varias cosas:

Contenido Gratuito

Los cursos gratis de Udemy te permiten aprender nuevas cosas sin tener que pagar. Aprovecha la oportunidad.

Aprendizaje

Pon en práctica todos tus conocimientos aprendidos. Realiza increíbles proyectos basados en el mundo real.

Limites

Debes tener en cuenta que todos los cursos gratuitos de Udemy son de máximo 2 horas y no incluyen un certificado.

Este curso se encuentra disponible de manera gratuita sin necesidad de ningún cupón, a través de la opción “GRATIS”.

Te recomendamos primero leer las diferencias entre un curso gratis y uno de pago para evitar malentendidos:

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