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!
課程信息
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第 2 門課程（共 4 門）
完成時間大約為11 小時
英語（English）
字幕：英語（English）
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 2 門課程（共 4 門）
完成時間大約為11 小時
英語（English）
字幕：英語（English）
提供方
霍华德大学
Founded in 1867, Howard University is a private, research university that is comprised of 14 schools and colleges. Students pursue more than 140 programs of study leading to undergraduate, graduate and professional degrees. The University operates with a commitment to Excellence in Truth and Service and has produced one Schwarzman Scholar, three Marshall Scholars, four Rhodes Scholars, 12 Truman Scholars, 25 Pickering Fellows and more than 165 Fulbright recipients. Howard also produces more on-campus African American Ph.D. recipients than any other university in the United States. For more information on Howard University, visit www.howard.edu.
授課大綱 - 您將從這門課程中學到什麼
完成時間為 2 小時
Introduction to finding inverses
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.
完成時間為 2 小時
8 個視頻 （總計 39 分鐘）, 1 個閱讀材料, 3 個測驗
完成時間為 2 小時
Introduction to Matrix Algebra with Python
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.
完成時間為 2 小時
5 個視頻 （總計 33 分鐘）
完成時間為 2 小時
Solving Systems of Linear Equations
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.
完成時間為 2 小時
5 個視頻 （總計 35 分鐘）
完成時間為 4 小時
Eigenvalues and Eigenvectors
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.
完成時間為 4 小時
11 個視頻 （總計 87 分鐘）
關於 Linear Algebra for Data Science Using Python 專項課程
This Specialization is for learners interested in exploring or pursuing careers in data science or understanding some data science for their current roles. This course will build upon your previous mathematical foundations and equip you with key applied tools for using and analyzing large data sets.
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