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Data Analysis and Visualization with Python

Data Analysis and Visualization with Python

本课程是 Python: A Guided Journey from Introduction to Application 专项课程的一部分

位教师：Adwith Malpe

1,944 人已注册

包含在中

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3个模块

深入了解一个主题并学习基础知识。

15 条评论

初级等级

推荐体验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

3个模块

深入了解一个主题并学习基础知识。

15 条评论

初级等级

推荐体验

2 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

您将学到什么

Students will learn how to perform data analysis and visualization using python.

您将获得的技能

您将学习的工具

要了解的详细信息

可分享的证书

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作业

12 任务¹

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授课语言：英语（English）

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Petrobras, TATA, Danone, Capgemini, P&G 和 L'Oreal 的徽标

积累特定领域的专业知识

本课程是 Python: A Guided Journey from Introduction to Application 专项课程专项课程的一部分

在注册此课程时，您还会同时注册此专项课程。

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通过实践项目培养工作相关技能
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该课程共有3个模块

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!

单元详情

In this module, we will discuss lists, tuples, dictionaries and sets.

涵盖的内容

5个视频15篇阅读材料5个作业

5个视频总计53分钟

Introduction to the Course1分钟
Creating and Using Lists17分钟
Creating and Using Tuples12分钟
Creating and Using Dictionaries12分钟
Creating and Using Sets13分钟

15篇阅读材料总计185分钟

Course Introduction1分钟
Weekly Lesson PowerPoint10分钟
Python Recommended Links and Readings10分钟
Lesson 1 Overview1分钟
Weekly Lesson PowerPoint10分钟
Building Lists Code Example30分钟
Lesson 2 Overview1分钟
Weekly Lesson PowerPoint10分钟
Building Tuples Code Examples30分钟
Lesson 3 Overview1分钟
Weekly Lesson PowerPoint10分钟
Building Dictionaries Code Examples30分钟
Lesson 4 Overview1分钟
Weekly Lesson PowerPoint10分钟
Building Sets Code Example30分钟

5个作业总计150分钟

Lists Quiz30分钟
Tuples Quiz30分钟
Dictionaries Quiz30分钟
Sets Quiz30分钟
Formative Assessment: Create a List30分钟

In this module, you will explore how to read in data from a file, store information to a file, and modify a file.

涵盖的内容

3个视频9篇阅读材料4个作业

3个视频总计22分钟

Reading Numeric and Textual Data9分钟
How to Write Data to a File8分钟
Handling Exceptions During File Input and Output5分钟

9篇阅读材料总计123分钟

Lesson 1 Overview1分钟
Weekly Lesson PowerPoint10分钟
File Input Code Example30分钟
Lesson 2 Overview1分钟
Weekly Lesson PowerPoint10分钟
File Output Code Example30分钟
Lesson 3 Overview1分钟
Weekly Lesson PowerPoint10分钟
Handling Exceptions Code Example30分钟

4个作业总计120分钟

File Read Quiz30分钟
Writing Data Quiz30分钟
Handling Exceptions During File Input and Output30分钟
Formative Assessment: Creating, Modifying and Saving to a File30分钟

In this module, you will explore libraries that allow you to manipulate data.

涵盖的内容

5个视频9篇阅读材料3个作业1次同伴评审

5个视频总计42分钟

Using Data Analysis with the NumPy Library in Python11分钟
Using Data Analysis with the NumPy Library in Python Pt. 210分钟
How to Use Data Analysis with the Pandas Library in Python 9分钟
Using Data Visualization with Matplot Library in Python12分钟
Course Review1分钟

9篇阅读材料总计123分钟

Lesson 1 Overview1分钟
Weekly Lesson PowerPoint10分钟
NumPy Library Code Example30分钟
Lesson 2 Overview1分钟
Weekly Lesson PowerPoint10分钟
Pandas Library Code Example30分钟
Lesson 3 Overview1分钟
Weekly Lesson PowerPoint10分钟
Matplotlib Code Example30分钟

3个作业总计90分钟

Data Analysis with NumPy Quiz30分钟
Pandas Library30分钟
Matplotlib Quiz30分钟

1次同伴评审总计60分钟

Working with Data60分钟

获得职业证书

将此证书添加到您的 LinkedIn 个人资料、简历或履历中。在社交媒体和绩效考核中分享。

位教师

Adwith Malpe

Arizona State University

4 门课程11,781 名学生

提供方

Arizona State University

Data Analysis and Visualization with Python

Data Analysis and Visualization with Python

您将学到什么

您将获得的技能

您将学习的工具

要了解的详细信息

了解顶级公司的员工如何掌握热门技能

积累特定领域的专业知识

该课程共有3个模块

Module 1: Sequences

涵盖的内容

Module 2: File Input and Output

涵盖的内容

Module 3: Data Analysis

涵盖的内容

获得职业证书

位教师

提供方

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Data Analysis and Visualization with Python

Reading and Writing Files

Python for Data Visualization and Analysis

Intro to Python: File Processing and Exception Handling

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常见问题

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