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Data Analysis and Visualization with Python · LearnSpace
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Data Analysis and Visualization with Python

Курс от Arizona State University
Начальный≈ 16.1 чАнглийский
О курсеНавыкиПрограммаПреподаватели

О курсе

In this course, you will learn how to read and write data from and to a file. You will also examine how to manipulate and analyze the data using lists, tuples, dictionaries, sets, and the pandas and Matplot libraries. As a developer, it's important to understand how to deal with issues that could cause an application to crash. You will learn how to implement exceptions to handle these issues. You do not need a programming or computer science background to learn the material in this course. This course is open to anyone who is interested in learning how to code and write programs in Python. We are very excited that you will be learning with us and hope you enjoy the course!

Навыки, которые вы освоите

Python ProgrammingPlot (Graphics)Data WranglingData StructuresPandas (Python Package)Data ProcessingData Visualization SoftwareData AnalysisMatplotlibNumPyFile I/OData Import/ExportData ManipulationComputer Programming

Программа курса

3 модулей · 59 учебных материалов

01Module 1: Sequences25 материалов

Course Introduction and Python Recommended Links and Readings

Course IntroductionЧтениеIntroduction to the CourseВидеоWeekly Lesson PowerPointЧтениеPython Recommended Links and ReadingsЧтение

Module 1 Lesson 1: How to Use Lists in Python

Учитесь у экспертов

Adwith Malpe

Assistant Teaching Professor

Steven Osburn

Assistant Teaching Professor

Data Analysis and Visualization with Python
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Обучение на Coursera

≈ 16.1 ч

3 модулей

Язык: Английский

Субтитры: Узбекский

Часть программы вашего университета
Lesson 1 OverviewЧтение
Weekly Lesson PowerPointЧтение
Creating and Using ListsВидео
Building Lists Code ExampleЧтение
Lists QuizЗадание

Module 1 Lesson 2: How to Use Tuples in Python

Lesson 2 OverviewЧтениеWeekly Lesson PowerPointЧтениеCreating and Using TuplesВидеоBuilding Tuples Code ExamplesЧтениеTuples QuizЗадание

Module 1 Lesson 3: How to Use and Build Dictionaries

Lesson 3 OverviewЧтениеWeekly Lesson PowerPointЧтениеCreating and Using DictionariesВидеоBuilding Dictionaries Code ExamplesЧтениеDictionaries QuizЗадание

Module 1 Lesson 4: How to Use Sets in Python

Lesson 4 OverviewЧтениеWeekly Lesson PowerPointЧтениеCreating and Using SetsВидеоBuilding Sets Code ExampleЧтениеSets QuizЗаданиеFormative Assessment: Create a ListЗадание
02Module 2: File Input and Output16 материалов

Module 2 Lesson 1: How to Use File Input

Lesson 1 OverviewЧтениеWeekly Lesson PowerPointЧтениеReading Numeric and Textual DataВидеоFile Input Code ExampleЧтениеFile Read QuizЗадание

Module 2 Lesson 2: How to Get a File Output

Lesson 2 OverviewЧтениеWeekly Lesson PowerPointЧтениеHow to Write Data to a FileВидеоFile Output Code ExampleЧтениеWriting Data QuizЗадание

Module 2 Lesson 3: How to Set Up and Use Handling Exceptions

Lesson 3 OverviewЧтениеWeekly Lesson PowerPointЧтениеHandling Exceptions During File Input and OutputВидеоHandling Exceptions Code ExampleЧтениеHandling Exceptions During File Input and OutputЗаданиеFormative Assessment: Creating, Modifying and Saving to a FileЗадание
03Module 3: Data Analysis18 материалов

Module 3 Lesson 1: Data Analysis with the NumPy Library in Python

Lesson 1 OverviewЧтениеWeekly Lesson PowerPointЧтениеUsing Data Analysis with the NumPy Library in PythonВидеоUsing Data Analysis with the NumPy Library in Python Pt. 2ВидеоNumPy Library Code ExampleЧтениеData Analysis with NumPy QuizЗадание

Module 3 Lesson 2: How to Use Data Analysis with the Pandas Library in Python

Lesson 2 OverviewЧтениеWeekly Lesson PowerPointЧтениеHow to Use Data Analysis with the Pandas Library in Python ВидеоPandas Library Code ExampleЧтениеPandas LibraryЗадание

Module 3 Lesson 3: Introduction to the Matplotlib Library in Python

Lesson 3 OverviewЧтениеWeekly Lesson PowerPointЧтениеUsing Data Visualization with Matplot Library in PythonВидеоMatplotlib Code ExampleЧтениеMatplotlib QuizЗаданиеCourse ReviewВидео
Working with DataВзаимная проверка