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Introduction to Linear Algebra and Python
  • Level Foundation
  • Duration 12 hours
  • Course by Howard University
  • Offered by

About

This course is the first of a series that is designed for beginners who want to learn how to apply basic data science concepts to real-world problems. You might be a student who is considering pursuing a career in data science and wanting to learn more, or you might be a business professional who wants to apply some data science principles to your work. Or, you might simply be a curious, lifelong learner intrigued by the powerful tools that data science and math provides. Regardless of your motivation, we’ll provide you with the support and information you need to get started. In this course, we'll cover the fundamentals of linear algebra, including systems of linear equations, matrix operations, and vector equations. Whether you’ve learned some of these concepts before and are looking for a refresher or you’re brand new to the ideas we’ll cover, you’ll find the materials to support you. Let's get started!

Modules

Introduction to Specialization and Course

    • 3 Videos
    • 1 Readings
    • 1 Discussion
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1 Discussions

  • Meet and Greet

3 Videos

  • Introduction to Linear Algebra for Data Science Using Python (Specialization)
  • Introduction to Linear Algebra and Python
  • Introduction to Instructors

1 Readings

  • Course 1 Welcome

Introduction to Matrices and Linear Algebra

    • 9 Videos
    • 5 Readings
    • 1 Assignment
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1 Assignment

  • Getting Started with Linear Algebra and Python

9 Videos

  • Installing the Version Control System Git Bash
  • Installing Git Bash for a Mac
  • Installing Jupyter Notebook via Anaconda
  • Opening a Jupyter Notebook
  • How to Document Your Code
  • Introduction to Matrices
  • Introduction to Matrices in Python Using NumPy
  • Introduction to Matrices in Python Using SymPy
  • How Is Linear Algebra Used to Solve Problems?

5 Readings

  • Note About Git Bash for Mac
  • Reminder - Start with Git Bash
  • Best Practices for Learning Programming
  • Python Resources
  • Get to Know NumPy and SymPy

Modeling Data in Python

    • 3 Videos
    • 1 Discussion
    • 2 Assignment
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2 Assignment

  • Modeling Data in Python
  • Fundamental Concepts in Linear Algebra & Common Data Science Applications of Linear Algebra

1 Discussions

  • Practical Uses of Linear Algebra

3 Videos

  • Using Graphs in Python to Model Data
  • Doing More with Graphs in Python to Model Data: Part 1
  • Doing More with Graphs in Python to Model Data: Part 2 (Data Visualizations)

Using Linear Algebra

    • 3 Videos
    • 1 Readings
    • 1 Assignment
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1 Assignment

  • Using Linear Algebra

3 Videos

  • Introduction to Linear Algebra Functions in Python
  • Using Matrices in Python
  • Solving Linear Equations Using Python

1 Readings

  • Supplemental Reading on Using Python to Solve Linear Equations

Matrix Algebra

    • 4 Videos
    • 1 Discussion
    • 2 Assignment
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2 Assignment

  • Matrix Algebra by Hand and in Python
  • Matrix Addition, Multiplication, and Scalar Multiplication by Hand and in Python

1 Discussions

  • Matrices at Work

4 Videos

  • Matrix Addition
  • Matrix Multiplication
  • A Practical Example of Matrix Multiplication
  • Using Matrix Algebra in Python

Defining Vector Equations

    • 5 Videos
    • 1 Assignment
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1 Assignment

  • Vector Equations and Systems of Linear Equations

5 Videos

  • Systems of Linear Equations
  • Row Echelon Form and Augmented Matrices
  • Elementary Row Operations and Row Equivalent Matrices
  • Gaussian Elimination (row reduction)
  • Vector Equations

Using Vector Equations to Model Data

    • 2 Videos
    • 1 Discussion
    • 2 Assignment
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2 Assignment

  • Using Vector Equations
  • Vector Equations, Systems of Linear Equations, and Modeling Data

1 Discussions

  • Vector Equations

2 Videos

  • Solving Vector Equations
  • Practical Applications of a Linear Function Model

Real World Applications

    • 4 Videos
    • 1 Readings
    • 1 PeerReview
    • 1 Assignment
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1 Assignment

  • Real-World Data Sets and Vector Equations

1 Peer Review

  • Real-World Applications Assignment Instructions

4 Videos

  • Introduction to a Sample Data Set
  • Working through a Sample Data Set Using Vector Equations: Part 1
  • Working through a Sample Data Set Using Vector Equations: Part 2
  • Real-World Applications - Ice Cream Sales

1 Readings

  • Applying Peer Feedback

Auto Summary

"Introduction to Linear Algebra and Python" is a foundational course in IT & Computer Science designed for beginners eager to apply data science concepts to real-world problems. Taught by Coursera, it covers linear algebra fundamentals like systems of linear equations, matrix operations, and vector equations. The course spans 720 minutes and offers Starter and Professional subscription options, making it ideal for students, business professionals, and lifelong learners.

Dennis Davenport
Instructors

Dennis Davenport

MOUSSA DOUMBIA
Instructors

MOUSSA DOUMBIA