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!
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다음 특화 과정의 4개 강좌 중 2번째 강좌:
완료하는 데 약 11시간 필요
영어
자막: 영어
유연한 마감일
일정에 따라 마감일을 재설정합니다.
공유 가능한 수료증
완료 시 수료증 획득
100% 온라인
지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.
다음 특화 과정의 4개 강좌 중 2번째 강좌:
완료하는 데 약 11시간 필요
영어
자막: 영어
제공자:
하워드 대학교
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.
강의 계획표 - 이 강좌에서 배울 내용
완료하는 데 2시간 필요
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.
완료하는 데 2시간 필요
8개 동영상 (총 39분), 1 개의 읽기 자료, 3 개의 테스트
완료하는 데 2시간 필요
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.
완료하는 데 2시간 필요
5개 동영상 (총 33분)
완료하는 데 2시간 필요
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.
완료하는 데 2시간 필요
5개 동영상 (총 35분)
완료하는 데 4시간 필요
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.
완료하는 데 4시간 필요
11개 동영상 (총 87분)
Linear Algebra for Data Science Using Python 특화 과정 정보
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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