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Data Collection and Integration

Data Collection and Integration

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

位教师：Di Wu

包含在中

了解更多

6个模块

深入了解一个主题并学习基础知识。

16 条评论

中级等级

推荐体验

3 周完成

在 10 小时一周

灵活的计划

自行安排学习进度

6个模块

深入了解一个主题并学习基础知识。

16 条评论

中级等级

推荐体验

3 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

How to utilize Python and Python packages to collect data from various sources
How to integrate data collected from various sources to a unified dataset for further processing and analysis

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

添加到您的领英档案

作业

6 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 Data Wrangling 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6个模块

The "Data Collection and Integration" course provides students with comprehensive techniques for gathering data from diverse sources, including files, relational databases, web pages, and APIs. Participants will gain practical experience in collecting and integrating data for further processing and analysis. The course emphasizes the utilization of appropriate tools and packages, such as Pandas, Beautiful Soup, and SQL, to effectively handle real-life datasets and address data integration challenges.

单元详情

The "Collect Data from Files" week focuses on equipping you with the necessary skills to handle various file formats, such as txt, csv, json, xml, html, and more, for effective data collection. You will learn how to read, parse, and extract relevant data from different file types, enabling you to gather valuable information from diverse sources.

涵盖的内容

2个视频4篇阅读材料1个作业1个讨论话题

2个视频总计16分钟

Course Overview2分钟
Collect Data From Files14分钟

4篇阅读材料总计101分钟

Course Updates and Accessibility Support1分钟
Assessment Strategy30分钟
Activity Strategy10分钟
Collect Data From Files Demo60分钟

1个作业总计30分钟

Collect Data From Files Quiz30分钟

1个讨论话题总计120分钟

Collect Data from Files Exploration Exercise120分钟

The "Collect Data from Web" week focuses on empowering you with the skills to extract data from various webpage formats using Python libraries like requests and Beautiful Soup. You will learn how to access web pages, retrieve HTML content, and parse the data to collect relevant information effectively.

涵盖的内容

1个视频2篇阅读材料1个作业1个讨论话题

The "Collect Data from Database" week focuses on equipping you with the skills to interact with various SQL-like databases using Python packages. You will learn how to connect to databases, execute queries, and retrieve data from different database systems, enabling you to collect and utilize data efficiently.

涵盖的内容

1个视频2篇阅读材料1个作业1个讨论话题

The "Collect Data from APIs" week focuses on enabling you to interact with various websites that provide Application Programming Interfaces (APIs). You will learn how to access APIs, retrieve data in structured formats (e.g., JSON or XML), and utilize Python to process and extract valuable information from API responses.

涵盖的内容

1个视频1篇阅读材料1个作业1个讨论话题

The "Data Integration" week focuses on the techniques and methodologies for integrating data collected from various sources. You will learn how to combine and merge datasets, handle data inconsistencies, and create a unified dataset for further analysis and decision-making.

涵盖的内容

1个视频2篇阅读材料1个作业1个讨论话题

The "Case Study" week offers you the opportunity to apply the knowledge you have learned throughout the course in a practical and comprehensive case study. You will engage in data collection from various sources, including files, SQL-like databases, and web APIs, and then integrate the collected data into a unified dataset for further analysis. This week serves as a culminating activity, allowing you to demonstrate your skills in data collection, integration, and preparation for analysis.