Howard University
Fundamental Linear Algebra Concepts with Python
Howard University

Fundamental Linear Algebra Concepts with Python

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

Taught in English

Dennis Davenport
MOUSSA DOUMBIA

Instructors: Dennis Davenport

Included with Coursera Plus

Course

Gain insight into a topic and learn the fundamentals

4.4

(12 reviews)

10 hours (approximately)
Flexible schedule
Learn at your own pace

Details to know

Shareable certificate

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Assessments

11 quizzes

Course

Gain insight into a topic and learn the fundamentals

4.4

(12 reviews)

10 hours (approximately)
Flexible schedule
Learn at your own pace

See how employees at top companies are mastering in-demand skills

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Build your subject-matter expertise

This course is part of the Linear Algebra for Data Science Using Python Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate
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There are 4 modules in this course

In module 1, you’ll learn how to define linear equations, how to use Python to find the determinant of matrices and how to perform different commands using Python. We will cover the following learning objectives.

What's included

8 videos1 reading3 quizzes1 discussion prompt

Let’s recap! In module 1, you learned how to define linear equations, how to use Python to find the determinant of matrices and how to perform different commands using Python. In module 2, you’ll learn how to explain different matrix algebra functions, perform matrix algebra on large data sets using Python. We will cover the following learning objectives.

What's included

5 videos2 quizzes1 discussion prompt

Let’s recap! In module 2, you learned how to explain different matrix algebra functions and perform matrix algebra on large data sets using Python. In module 3, you will learn how to solve systems of linear equations using several methods. We will cover the following learning objectives.

What's included

5 videos3 quizzes1 discussion prompt

Welcome to the final module of this course! Over the past 3 modules, you have been introduced to and gained knowledge on the following topics: determinants, inverses, matrix algebra with Python, row reduction and, systems of linear equations. In the final module of the course, you’ll apply what you’ve learned to concrete, real-world examples. You’ll practice using linear transformation, Eigenvalues and Eigenvectors, and solving applications. We will cover the following learning objectives.

What's included

11 videos3 quizzes1 peer review1 discussion prompt

Instructors

Dennis Davenport
Howard University
4 Courses3,852 learners

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