This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization. This course will cover Chapters 14-15 of the book “Python for Everybody”. To succeed in this course, you should be familiar with the material covered in Chapters 1-13 of the textbook and the first three courses in this specialization. This course covers Python 3.
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课程信息
425,272 次近期查看
学生职业成果
34%
完成这些课程后已开始新的职业生涯
34%
通过此课程获得实实在在的工作福利
13%
加薪或升职
您将学到的内容有
Use the Create, Read, Update, and Delete operations to manage databases
Explain the basics of Object Oriented Python
Understand how data is stored across multiple tables in a database
Utilize the Google Maps API to visualize data
您将获得的技能
Python ProgrammingDatabase (DBMS)SqliteSQL
学生职业成果
34%
完成这些课程后已开始新的职业生涯
34%
通过此课程获得实实在在的工作福利
13%
加薪或升职
100% 在线
立即开始，按照自己的计划学习。
第 4 门课程（共 5 门）
可灵活调整截止日期
根据您的日程表重置截止日期。
完成时间大约为14 小时
英语（English）
字幕：英语（English）, 韩语
提供方
密歇根大学
The mission of the University of Michigan is to serve the people of Michigan and the world through preeminence in creating, communicating, preserving and applying knowledge, art, and academic values, and in developing leaders and citizens who will challenge the present and enrich the future.
教学大纲 - 您将从这门课程中学到什么
完成时间为 2 小时
Object Oriented Python
To start this class out we cover the basics of Object Oriented Python. We won't be writing our own objects, but since many of the things we use like BeautifulSoup, strings, dictionaries, database connections all use Object Oriented (OO) patterns we should at least understand some of its patterns and terminology.
完成时间为 2 小时
8 个视频 （总计 64 分钟）, 4 个阅读材料, 2 个测验
8 个视频
Unicode Characters and Strings17分钟
14.1 - Object Oriented Definitions and Terminology8分钟
14.2 - Our First Class and Object7分钟
14.3 - Object Life Cycle8分钟
14.4 - Object Inheritance6分钟
Bonus: Interview - Software Engineering - Bertrand Meyer11分钟
Bonus: Office Hours - London1分钟
4 个阅读材料
Help us learn more about you!10分钟
Python Textbook10分钟
Coming from Python 2 - Encoding Data in Python 310分钟
Notice for Auditing Learners: Assignment Submission10分钟
2 个练习
Using Encoded Data in Python 310分钟
Object Oriented Programming22分钟
完成时间为 4 小时
Basic Structured Query Language
We learn the four core CRUD operations (Create, Read, Update, and Delete) to manage data stored in a database.
完成时间为 4 小时
7 个视频 （总计 77 分钟）
7 个视频
15.2 - Using Databases12分钟
15.3 - Single Table CRUD16分钟
Worked Example: Counting Email in a Database13分钟
Bonus: Office Hours Zagreb, Croatia3分钟
Interview: Elizabeth Fong - The Early Years of SQL7分钟
Worked Example: Twspider.py (Chapter 15)9分钟
1 个练习
Single-Table SQL22分钟
完成时间为 3 小时
Data Models and Relational SQL
In this section we learn about how data is stored across multiple tables in a database and how rows are linked (i.e., we establish relationships) in the database.
完成时间为 3 小时
8 个视频 （总计 81 分钟）
8 个视频
15.5 - Representing a Data Model in Tables11分钟
15.6 - Inserting Relational Data9分钟
15.7 - Reconstructing Data with JOIN12分钟
Worked Example: Tracks.py (Chapter 15)13分钟
Bonus: Office Hours Perth, Australia1分钟
Bonus Interview: Niklaus Wirth15分钟
Bonus: Office Hours Barcelona2分钟
1 个练习
Multi-Table Relational SQL20分钟
完成时间为 2 小时
Many-to-Many Relationships in SQL
In this section we explore how to model situations like students enrolling in courses where each course has many students and each student is enrolled in many courses.
完成时间为 2 小时
5 个视频 （总计 62 分钟）
5 个视频
Worked Example: roster.py (Chapter 15)11分钟
Bonus: Office Hours Mexico, City54
Bonus Interview: Andrew Tannenbaum - Minix10分钟
Worked Example: Twfriends.py (Chapter 15)21分钟
1 个练习
Many-to-Many Relationships and Python18分钟
审阅
来自PYTHON 数据库开发的热门评论
由 BT 提供Jan 31, 2020
Course is worthwhile taking and Dr. Severance is engaging in the videos. People new to Python should read book chapters prior to viewing videos so as to familiarize themselves with the subject matter.
由 SZ 提供Sep 10, 2016
I hope this can be a little bit more challenge. All the assignments are easy to be finished, some of them can be done within minutes. Comparing with JHU's R programming, that can be too hard, though.
由 MM 提供Mar 12, 2018
The course is great... You can definitely learn many things... Was kind of hard for me and i went many times back and forth through most of the lectures... However i think i learn many new things....
由 JG 提供Jun 16, 2016
This course was great! I enjoyed parsing different types of data: from documents and the web. This course is definitely (rudimentary) a must take course for anyone who wants to go into data science.
由 JL 提供Jun 22, 2017
Wonderful course! I learnt many useful SQL statements and know how to combine database operations into python program. Dr. Chuck's lectures are always comprehensible and clear. Thank you, professor.
由 GB 提供Jan 13, 2018
It's an excellent course. Thanks for the oportunity to learn. Thanks to Coursera, to the University of Michigan and of course to Dr. Chuck, a very good an enthusiastic teacher! All the best for you!
由 RS 提供Mar 5, 2019
This course is well designed to get fast launching in programming & talking to data with python. As the name suggests " Python For Everybody ", courses in this specialization really signifies that.
由 CS 提供Jul 5, 2018
Well taught course, with material made easy to understand and discussed in an engaging way. The assignments really help to solidify your understanding and are like puzzles that I enjoy working at.
关于 零基础 Python 入门 专项课程
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
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