Linear Algebra for Data Science Using Python
INTERACTIVE COURSE

Linear Algebra for Data Science Using Python

Beginner

67 Lessons

10h

Certificate of Completion

Linear Algebra for Data Science Using Python
1 Project
170 Playgrounds
8 Challenges
9 Quizzes
152 Illustrations

Takeaway Skills

Learning the intricate concepts of linear algebra from scratch

Working knowledge of various linear algebra techniques using Python

A visual understanding of concepts such as vector space, spans, and subspace with animations

Familiarity with valuable concepts like fields, eigenspaces, diagonalization, and SVD

An understanding of how linear algebra concepts build the most useful tools in data science, such as neural networks

The ability to apply linear algebra concepts to real-world problems through coding exercises and practical projects

Course Overview

Linear algebra is a fundamental pillar of data science. In advanced models in data science, like neural networks, the inputs and transformations are based upon vectors, matrices, and tensors which require a reasonable understanding of linear algebra to get the desir...Show More

FOR TEAMS
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Course Content

1

Introduction

1 Lesson

2

Linearity

11 Lessons

Show all 11 lessons
3

Matrices

5 Lessons

4

Solving Linear Systems

12 Lessons

5

Singularity

7 Lessons

6

Linear Regression and Least Squares

11 Lessons

7

Vector Space

12 Lessons

8

Vector Spaces of a Matrix

5 Lessons

9

Singular Value Decomposition: SVD

3 Lessons

Learning to Find Discriminative Null Space for Face Recognition

Project

COURSE AUTHOR

How You'll Learn

Hands-on Coding Environments

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2x Faster Learning — With No Setup

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AI-Powered Learning

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Progress You Can Show

Built-in assessments let you test your skills. Completion certificates let you show them off.