In this course, you'll be introduced to finding inverses and matrix algebra using Python. You will also practice using row reduction to solve linear equations as well as practice how to define linear transformations. Let's get started!

This course is part of the Linear Algebra for Data Science Using Python Specialization

Offered By

Linear Algebra for Data Science Using Python SpecializationHoward University

## About this Course

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Course 2 of 4 in the

Approx. 10 hours to complete

English

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Try Coursera for BusinessFlexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 2 of 4 in the

Approx. 10 hours to complete

English

Could your company benefit from training employees on in-demand skills?

Try Coursera for Business## Offered by

## Syllabus - What you will learn from this course

**2 hours to complete**

### Introduction to Finding Inverses

**2 hours to complete**

8 videos (Total 39 min), 1 reading, 3 quizzes

**2 hours to complete**

### Introduction to Matrix Algebra with Python

**2 hours to complete**

5 videos (Total 33 min)

**2 hours to complete**

### Solving Systems of Linear Equations

**2 hours to complete**

5 videos (Total 35 min)

**4 hours to complete**

### Eigenvalues and Eigenvectors

**4 hours to complete**

11 videos (Total 87 min)

## About the Linear Algebra for Data Science Using Python Specialization

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