Coursera 笔记

IBM

Python Project for Data Engineering

Python 数据工程项目

21 notes · 41 images · 13/21 条官方条目有笔记 · certified

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Module 01

Extract, Transform, Load (ETL) 提取、转换与加载(ETL)

11 / 14 篇
  1. 01Course Introduction课程介绍
  2. 02Helpful Tips for Course Completion
  3. 03Pre-requisites and Course Syllabus先决条件与课程大纲
  4. 04Demo: Working with an IDE
  5. 05Extract, Transform, Load (ETL)提取、转换与加载(ETL)
  6. 06Hands-on Lab: Extract, Transform, Load (ETL)动手实验:提取、转换与加载(ETL)
  7. 07(Optional) Web Scraping
  8. 08[Optional] REST APIs & HTTP Requests(可选)REST API 与 HTTP 请求
  9. 09Hands-on Lab: Web scraping and Extracting Data using APIs动手实验:网络抓取与 API 数据提取
  10. 10Reading: Querying SQLite3 database阅读:查询 SQLite3 数据库
  11. 11Hands-on Lab: Accessing Databases using Python script动手实验:使用 Python 脚本访问数据库
  12. 12Practice Quiz: Extract, Transform, Load (ETL)练习测验:提取、转换与加载(ETL)
  13. 13Module Summary: Extract, Transform, Load (ETL)模块总结:提取、转换与加载(ETL)
  14. 14Graded Quiz: Extract, Transform, Load (ETL)评分测验:提取、转换与加载(ETL)
Module 02

Final Project 期末项目

6 / 8 篇
  1. 01Practice Project Overview练习项目概述
  2. 02Practice Project: Extract, Transform and Load GDP data练习项目:GDP 数据的提取、转换与加载
  3. 03Final project overview期末项目概述
  4. 04Reading: Final Project Submission Guidelines and Deliverables
  5. 05Hands-on Lab: Acquiring and Processing Information on the World's Largest Banks动手实验:获取与处理全球最大银行信息
  6. 06Graded Quiz: Final Project评分测验:期末项目
  7. 07Congratulations and Next Steps结课祝贺与后续学习
  8. 08Thanks from the Course Team
Module 03

[Optional] Python Coding Practices and Packaging Concepts (可选)Python 编码实践与打包概念

4 / 7 篇
  1. 01Module Introduction模块介绍
  2. 02Python Style Guide and Coding Practices
  3. 03Reading: Static Code Analysis Resources阅读:静态代码分析资源
  4. 04Unit Testing
  5. 05Packaging
  6. 06Module Summary: Python Coding Practices and Packaging Concepts模块总结:Python 编码实践与打包概念
  7. 07Practice Quiz: Python Coding Practices and Packaging Concepts练习测验:Python 编码实践与打包概念