Data Structures in Python

本课程是 Google Data Analysis with Python 专项课程的一部分

位教师：Google Career Certificates

访问权限由 New York State Department of Labor 提供

2,257 人已注册

5个模块

深入了解一个主题并学习基础知识。

12 条评论

中级等级

需要一些相关经验

6 小时完成

灵活的计划

自行安排学习进度

5个模块

深入了解一个主题并学习基础知识。

12 条评论

中级等级

需要一些相关经验

6 小时完成

灵活的计划

自行安排学习进度

您将学到什么

Use core NumPy and pandas data structures to store and organize data
Define Python tools such as libraries, packages, modules, and global variables
Describe the main features and methods of built-in Python data structures such as lists, tuples, dictionaries, and sets

您将获得的技能

要了解的详细信息

可分享的证书

添加到您的领英档案

作业

5 项作业

授课语言：英语（English）

了解顶级公司的员工如何掌握热门技能

了解关于 Coursera for Business 的更多信息

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 Google Data Analysis with Python 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。

向行业专家学习新概念
获得对主题或工具的基础理解
通过实践项目培养工作相关技能
获得可共享的职业证书

该课程共有5个模块

In this course, you’ll explore data structures in Python, which are methods of storing and organizing data in a computer. You’ll focus on data structures that are among the most useful for data professionals: lists, tuples, dictionaries, sets, and arrays. You’ll also discover how to categorize data using data loading, cleaning, and binning. Lastly, you’ll learn about two of the most widely used and important Python tools for advanced data analysis: NumPy and pandas.

By the end of this course, you will be able to: • Explain how to manipulate dataframes using techniques such as selecting and indexing, boolean masking, grouping and aggregating, and merging and joining • Describe the main features and methods of core pandas data structures such as dataframes • Describe the main features and methods of core NumPy data structures such as arrays and series • Define Python tools such as libraries, packages, modules, and global variables • Describe the main features and methods of built-in Python data structures such as lists, tuples, dictionaries, and sets

In this module, you will explore data structures in Python, which are methods of storing and organizing data in a computer. You’ll focus on lists and tuples, data structures that are among the most useful for data professionals.

涵盖的内容

5个视频3篇阅读材料1个作业3个非评分实验室

5个视频总计20分钟

Introduction to data structures in Python 1分钟
Introduction to lists 5分钟
Modify the contents of a list 4分钟
Introduction to tuples 4分钟
More with loops, lists, and tuples 6分钟

3篇阅读材料总计20分钟

Reference guide: Lists 8分钟
Compare lists, strings, and tuples 8分钟
zip(), enumerate(), and list comprehension 4分钟

1个作业总计8分钟

Test your knowledge: Lists and tuples 8分钟

3个非评分实验室总计50分钟

Annotated follow-along guide: Data structures in Python 20分钟
Activity: Lists & tuples 20分钟
Exemplar: Lists & tuples 10分钟

In this module, you will focus on dictionaries and sets, some more data structures that are among the most useful for data professionals.

涵盖的内容

3个视频2篇阅读材料1个作业2个非评分实验室

3个视频总计15分钟

Introduction to dictionaries 5分钟
Dictionary methods 5分钟
Introduction to sets 6分钟

2篇阅读材料总计8分钟

Reference guide: Dictionaries 4分钟
Reference guide: Sets 4分钟

1个作业总计6分钟

Test your knowledge: Dictionaries and sets 6分钟

2个非评分实验室总计30分钟

Activity: Dictionaries & sets 20分钟
Exemplar: Dictionaries & sets 10分钟

In this module, you will focus on arrays. You’ll learn about one of the most widely used and important Python tools for advanced data analysis: NumPy.

涵盖的内容

3个视频3篇阅读材料1个作业2个非评分实验室

3个视频总计15分钟

The power of packages 4分钟
Introduction to NumPy 4分钟
Basic array operations 6分钟

3篇阅读材料总计12分钟

Understand Python libraries, packages, and modules 4分钟
Python’s new versions and features 4分钟
Reference guide: Arrays 4分钟

1个作业总计6分钟

Test your knowledge: Arrays and vectors with NumPy 6分钟

2个非评分实验室总计30分钟

Activity: Arrays and vectors with NumPy 20分钟
Exemplar: Arrays and vectors with NumPy 10分钟

In this module, you will learn about one of the most widely used and important Python tools for advanced data analysis: pandas. You’ll also discover how to categorize data using data loading, cleaning, and binning.