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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零基础 Python 入门 專項課程密歇根大学課程信息
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第 4 門課程（共 5 門）
完成時間大約為15 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 意大利語, 越南語, 韓語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
您將學到的內容有
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
您將獲得的技能
- Python Programming
- Database (DBMS)
- Sqlite
- SQL
可靈活調整截止日期
根據您的日程表重置截止日期。
可分享的證書
完成後獲得證書
100% 在線
立即開始，按照自己的計劃學習。
第 4 門課程（共 5 門）
完成時間大約為15 小時
英語（English）
字幕：阿拉伯語（Arabic）, 法語（French）, （歐洲人講的）葡萄牙語, 意大利語, 越南語, 韓語, 德語（German）, 俄語（Russian）, 英語（English）, 西班牙語（Spanish）
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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.
授課大綱 - 您將從這門課程中學到什麼
完成時間為 3 小時
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.
完成時間為 3 小時
12 個視頻 （總計 83 分鐘）, 5 個閱讀材料, 2 個測驗
完成時間為 4 小時
Basic Structured Query Language
We learn the four core CRUD operations (Create, Read, Update, and Delete) to manage data stored in a database.
完成時間為 4 小時
7 個視頻 （總計 77 分鐘）
完成時間為 3 小時
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.
完成時間為 3 小時
8 個視頻 （總計 81 分鐘）
完成時間為 3 小時
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.
完成時間為 3 小時
5 個視頻 （總計 62 分鐘）
審閱
- 5 stars82.30%
- 4 stars14.34%
- 3 stars2.31%
- 2 stars0.43%
- 1 star0.59%
突出顯示
"High quality course material" 在 143 條評論中
"Top rated instructor" 在 176 條評論中
來自PYTHON 数据库开发的熱門評論
由 ML 提供2018年7月5日
this course is very helpful. It would be even more charming if the difficulty level increases slightly after several training videos to throw challenge at the programmer.Rest its worth 5 stars...
由 HG 提供2021年4月2日
his 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 BR 提供2015年12月27日
Hands down , This course will be taught by Dr chuck need I say more, One of the best professor on this coursera platform, who explains concepts in such a way that any one can understand them .
由 RS 提供2019年3月5日
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.
關於 零基础 Python 入门 專項課程
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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