К содержимому
learnspaceYOUR NEXT CHAPTER
ПРОСТРАНСТВО ОБУЧЕНИЯ
ГлавнаяКаталог курсовМоё обучениеCoursera

Знания без границ

Учитесь у лучших университетов и компаний мира.

Открыть Coursera
Интеграция
Пространство университета
Моё пространствоСтраница курса
↵
ЯЛичный кабинетСтудент
© 2026 LearnSpaceКаждый день — возможность узнать больше.Помощь
Introduction to Linear Algebra and Python · LearnSpace
Назад в каталог
courseraПрограммирование

Introduction to Linear Algebra and Python

Курс от Howard University
Начальный≈ 14.8 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

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!

Навыки, которые вы освоите

Linear AlgebraNumPyData ManipulationSoftware Development ToolsJupyterPython ProgrammingPlot (Graphics)AlgebraData ScienceScientific VisualizationMathematical SoftwareGit (Version Control System)Mathematical ModelingData VisualizationSoftware Installation

Программа курса

4 модулей · 61 учебных материалов

01Introduction to Matrices and Linear Algebra31 материалов

A. Introduction to Specialization and Course

Course 1 WelcomeЧтениеIntroduction to Linear Algebra for Data Science Using Python (Specialization)ВидеоIntroduction to Linear Algebra and PythonВидеоInstructor Introduction - Dr. Davenport and Dr. DoumbiaВидео

Учитесь у экспертов

Dennis Davenport

Graduate Director and Associate Professor

MOUSSA DOUMBIA

Faculty

Keith Maull

Adjunct Instructor

Introduction to Linear Algebra and Python
В каталоге вашей программы

Инвестируйте в себя

Новые знания — в удобное для вас время.

Начать на Coursera

Обучение откроется на Coursera
в новой вкладке

Обучение на Coursera

≈ 14.8 ч

4 модулей

Язык: Английский

Субтитры: Арабский, Французский, Узбекский, Украинский, Китайский (Китай), Греческий, Итальянский, Бразильский португальский, Нидерландский, Корейский, Немецкий, Русский, Тайский, Индонезийский, Шведский, Турецкий, Испанский, Хинди, Японский, Казахский, Польский

Часть программы вашего университета
Instructor Introduction - Dr. MaullВидео
Meet and GreetОбсуждение

B. System Setup and Configuration I | Github and Git

Installing the Version Control System Git BashВидеоNote About Git Bash for MacЧтениеInstalling Git Bash for a MacВидеоReminder - Start with Git BashЧтение

C. System Setup and Configuration II | Python, Anaconda and Jupyter

Why Python?ЧтениеInstalling Jupyter Notebook via AnacondaВидеоOpening a Jupyter NotebookВидеоTips for Better PythonВидеоBest Practices for Learning ProgrammingЧтениеC1.M1.LabNB002 - 7 Tips For Better PythonЛабораторнаяC1.M1.LabNB001 - A Jupyter Quick PrimerЛабораторнаяPython ResourcesЧтениеLinear Algebra ResourcesЧтение

D. Introduction to Matrices and Linear Algebra

Introduction to MatricesВидеоGet to Know NumPy and SymPyЧтениеIntroduction to Matrices in Python Using NumPyВидеоIntroduction to Matrices in Python Using SymPyВидеоHow Is Linear Algebra Used to Solve Problems?ВидеоGetting Started with Linear Algebra and Python Задание

E. Modeling Data in Python

Using Graphs in Python to Model DataВидеоDoing More with Graphs in Python to Model Data: Part 1ВидеоDoing More with Graphs in Python to Model Data: Part 2 (Data Visualizations)ВидеоModeling Data in PythonЗаданиеPractical Uses of Linear AlgebraОбсуждениеFundamental Concepts in Linear Algebra & Common Data Science Applications of Linear AlgebraЗадание
02Using Linear Algebra Concepts in Python12 материалов

A. Using Linear Algebra

Introduction to Linear Algebra Functions in PythonВидеоUsing Matrices in PythonВидеоSolving Linear Equations Using PythonВидеоSupplemental Reading on Using Python to Solve Linear EquationsЧтениеUsing Linear AlgebraЗадание

B. Matrix Algebra

Matrix AdditionВидеоMatrix MultiplicationВидеоA Practical Example of Matrix MultiplicationВидеоUsing Matrix Algebra in PythonВидеоMatrix Algebra by Hand and in PythonЗаданиеMatrices at WorkОбсуждениеMatrix Addition, Multiplication, and Scalar Multiplication by Hand and in PythonЗадание
03Vector Equations and Systems of Linear Equations13 материалов

A. Defining Vector Equations

Systems of Linear EquationsВидеоRow Echelon Form and Augmented MatricesВидеоElementary Row Operations and Row Equivalent MatricesВидеоGaussian Elimination (row reduction)ВидеоVector EquationsВидеоVector Equations and Systems of Linear EquationsЗаданиеReal-World Applications Assignment InstructionsЗадание

B. Using Vector Equations to Model Data

Solving Vector EquationsВидеоPractical Applications of a Linear Function ModelВидеоC1.M3.LabNB001 - LM Practical ApplicationsЛабораторнаяUsing Vector EquationsЗаданиеVector EquationsОбсуждениеVector Equations, Systems of Linear Equations, and Modeling DataЗадание
04Real-World Applications of Vector Equations5 материалов

Real World Applications

Introduction to a Sample Data SetВидеоSample Data Using Vector Equations: Part 1ВидеоWorking through a Sample Data Set Using Vector Equations: Part 2ВидеоReal-World Applications - Ice Cream SalesВидеоReal-World Data Sets and Vector EquationsЗадание