In the capstone, students will build a series of applications to retrieve, process and visualize data using Python. The projects will involve all the elements of the specialization. In the first part of the capstone, students will do some visualizations to become familiar with the technologies in use and then will pursue their own project to visualize some other data that they have or can find. Chapters 15 and 16 from the book “Python for Everybody” will serve as the backbone for the capstone. This course covers Python 3.
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零基础 Python 入门 专项课程密歇根大学课程信息
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学生职业成果
37%
完成这些课程后已开始新的职业生涯
38%
通过此课程获得实实在在的工作福利
19%
加薪或升职
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立即开始，按照自己的计划学习。
第 5 门课程（共 5 门）
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完成时间大约为9 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 中文（简体）, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 土耳其语（Turkish）, 英语（English）, 西班牙语（Spanish）
您将学到的内容有
Make use of unicode characters and strings
Understand the basics of building a search engine
Select and process the data of your choice
Create email data visualizations
您将获得的技能
Data AnalysisPython ProgrammingDatabase (DBMS)Data Visualization (DataViz)
学生职业成果
37%
完成这些课程后已开始新的职业生涯
38%
通过此课程获得实实在在的工作福利
19%
加薪或升职
可分享的证书
完成后获得证书
100% 在线
立即开始，按照自己的计划学习。
第 5 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9 小时
英语（English）
字幕：阿拉伯语（Arabic）, 法语（French）, （欧洲人讲的）葡萄牙语, 中文（简体）, 意大利语, 越南语, 韩语, 德语（German）, 俄语（Russian）, 土耳其语（Turkish）, 英语（English）, 西班牙语（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.
教学大纲 - 您将从这门课程中学到什么
完成时间为 1 小时
Welcome to the Capstone
Congratulations to everyone for making it this far. Before you begin, please view the Introduction video and read the Capstone Overview. The Course Resources section contains additional course-wide material that you may want to refer to in future weeks.
完成时间为 1 小时
4 个视频 （总计 36 分钟）, 5 个阅读材料, 1 个测验
4 个视频
Unicode Characters and Strings17分钟
Office Hours in Den Haag, Netherlands3分钟
Interview: John Resig and Pam Fox - Khan Academy11分钟
5 个阅读材料
Capstone Overview10分钟
Help Us Learn More About You!10分钟
Python Textbook10分钟
Coming from Python 2 - Encoding Data in Python 310分钟
Capstone Completion Options10分钟
1 个练习
Python for Everybody - A Review
完成时间为 2 小时
Building a Search Engine
This week we will download and run a simple version of the Google PageRank Algorithm and practice spidering some content. The assignment is peer-graded, and the first of three optional Honors assignments in the course. This a continuation of the material covered in Course 4 of the specialization, and is based on Chapter 16 of the textbook.
完成时间为 2 小时
6 个视频 （总计 61 分钟）, 2 个阅读材料, 1 个测验
6 个视频
Worked Example: Page Rank - Spidering (Chapter 16)17分钟
Worked Example: Page Rank - Computation (Chapter 16)15分钟
Worked Example: Page Rank - Visualization (Chapter 16)6分钟
Office Hours Detroit, Michigan1分钟
Interview: Anil Jain - Image Processing11分钟
2 个阅读材料
Building a Search Engine - Introduction10分钟
Peer Graded Assignment - Instructor Input10分钟
完成时间为 1 小时
Exploring Data Sources (Project)
The optional Capstone project is your opportunity to select, process, and visualize the data of your choice, and receive feedback from your peers. The project is not graded, and can be as simple or complex as you like. This week's assignment is to identify a data source and make a short discussion forum post describing the data source and outlining some possible analysis that could be done with it. You will not be required to use the data source presented here for your actual analysis.
完成时间为 1 小时
2 个视频 （总计 9 分钟）, 2 个阅读材料
2 个阅读材料
Identifying Your Data Source - Introduction10分钟
List of Data Sources (Instructional Staff Curated)10分钟
完成时间为 2 小时
Spidering and Modeling Email Data
In our second optional Honors assignment, we will retrieve and process email data from the Sakai open source project. Video lectures will walk you through the process of retrieving, cleaning up, and modeling the data.
完成时间为 2 小时
5 个视频 （总计 49 分钟）, 1 个阅读材料, 1 个测验
5 个视频
Worked Example: Gmane / Mail - Retrieval (Chapter 16)17分钟
Worked Example: Gmane / Mail - Model (Chapter 16)12分钟
Office Hours Baltimore, MD1分钟
Interview: Bruce Schneier - Building Cryptographic Systems11分钟
1 个阅读材料
Spidering and Modeling Email Data - Introduction10分钟
审阅
来自毕业项目：使用 PYTHON 获取并处理数据，并用可视化方式展现数据的热门评论
由 BC 提供Apr 28, 2020
Now I understand how data mining, API's and dumping and retrieving data from a database works. Excellent course to start understanding how python can be used to work with data sources on the internet.
由 NS 提供Apr 9, 2016
Python for everyone is One of the Best Course on MOOC platform . Dr. Chuck made it interesting and Knowledgeable. Way back 3 Months ,I can't even thing of the stuff that I leaned and implemented .
由 JC 提供May 25, 2017
I found this course a little bit easier that some of the previous courses, however, it allowed me to gain experience managing a larger projects that encompass several languages and multiple programs.
由 RB 提供Aug 23, 2018
I enjoyed the course series, the capstone I though should be a program that we design, however, that would be very time consuming and would take personalized instruction and aid. Good class overall.
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.
常见问题
我什么时候能够访问课程视频和作业？
我订阅此专项课程后会得到什么？
Is financial aid available?
完成课程后，我会获得大学学分吗？
还有其他问题吗？请访问 学生帮助中心。
