Python for linear algebra (for absolute beginners)

Dip your feet into the amazing world of using Python code to understand vectors and matrices.
4.61 (644 reviews)
Udemy
platform
English
language
Data Science
category
instructor
Python for linear algebra (for absolute beginners)
35 794
students
2 hours
content
Jun 2025
last update
FREE
regular price

Why take this course?

🌟 Course Title: Python for Linear Algebra (For Absolute Beginners)


Course Headline:

📚 Dip Your Feet into the Amazing World of Using Python Code to Understand Vectors and Matrices


Course Description:

This course serves as an entry-level introduction to the fascinating world of linear algebra through the lens of Python programming. Designed for beginners with no prior experience in Python or linear algebra, this course will guide you through the fundamental concepts and applications of vectors and matrices using Python's powerful libraries.

What is Linear Algebra? 🧮

Linear algebra is a cornerstone of applied mathematics, focusing on vectors, matrices, and their transformations. It's essential in fields like statistics, machine learning, AI, deep learning, image processing, telecommunications, video games, computer graphics, and biomedical signal processing.

Why Use Python to Learn Linear Algebra? 🧾

Python's simplicity and versatility make it an excellent tool for grasping complex mathematical concepts. Many learners find that coding in Python can enhance their understanding of math immensely, as it allows for interactive experimentation with mathematical problems.

What Will You Learn in This Course? 📈

  • Python Basics: Getting started with Python and its essential functions.
  • Linear Algebra Overview: An introduction to the key concepts in linear algebra, including vectors, matrices, linear systems, eigenvalues, and eigenvectors.
  • Hands-On Learning: Practical applications of Python to solve linear algebra problems.

By the end of this course, you'll have a solid foundation in both Python and linear algebra fundamentals, enabling you to make an informed decision on whether to pursue more advanced studies in these fields.

What Do You Need to Know Before Enrolling? 💻

  • Computer Savvy: Basic computer literacy is all you need.
  • No Programming or Math Background Required: This course starts from scratch, so no prior knowledge of Python or linear algebra is assumed.

What Do You Have to Lose? 🤷‍♂️

This course requires a minimal investment of 2-3 hours. It's an excellent opportunity to explore the intersection of Python and linear algebra without the commitment of a more extensive program. If you decide it's not for you, you'll have spent only a few hours—a risk-free way to expand your knowledge base!

Who Is Your Instructor? 👩‍🏫

With almost 20 years of experience in teaching data analysis, scientific programming, statistics, and signal processing, I bring a wealth of knowledge and expertise to this course. My commitment to quality education is reflected in my best-selling courses on Udemy, which have garnered over 10,000 positive reviews. I aim to make learning fun, engaging, and effective, and I'm always here to help you succeed!


Enroll Now to Begin Your Journey into Python for Linear Algebra! 🚀


  • Course Duration: 2-3 hours (2 hours of video content + 1 hour of practice problems)
  • Skill Level Required: Absolute beginner
  • Topics Covered: Python basics, vectors, matrices, and an introduction to linear algebra concepts
  • Teaching Style: Engaging videos, practical examples, and interactive problem-solving
  • Instructor's Promise: High-quality content, real-world applications, and ongoing support throughout your learning experience.

Course Gallery

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Screenshot 1Python for linear algebra (for absolute beginners)
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Screenshot 2Python for linear algebra (for absolute beginners)
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Screenshot 3Python for linear algebra (for absolute beginners)
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Screenshot 4Python for linear algebra (for absolute beginners)

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3231569
udemy ID
13/06/2020
course created date
19/06/2020
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course submited by
Python for linear algebra (for absolute beginners) - Free course | Comidoc