关于此课程： 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.
制作方： University of Michigan
教学方： Charles Severance, Associate Professor
School of Information
| 基本信息 | 课程 5（共 5 门，零基础 Python 入门 Specialization ） |
| 承诺学习时间 | 6 weeks of study, 2-4 hours/week |
| 语言 | English |
| 如何通过 | 通过所有计分作业以完成课程。 |
| 用户评分 |
授课大纲
第 1 周
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.
4 个视频, 5 个阅读材料
- Leyendo: Capstone Overview
- Leyendo: Help Us Learn More About You!
- Leyendo: Python Textbook
- Leyendo: Coming from Python 2 - Encoding Data in Python 3
- 视频: Unicode Characters and Strings
- Leyendo: Notice for Auditing Learners: Assignment Submission
- 视频: Office Hours in Den Haag, Netherlands
- 视频: Interview: John Resig and Pam Fox - Khan Academy
已评分: Using Encoded Data in Python 3
第 2 周
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 required 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.
6 个视频, 1 个阅读材料
- Leyendo: Building a Search Engine - Introduction
- 视频: Worked Example: Page Rank - Spidering (Chapter 16)
- 视频: Worked Example: Page Rank - Computation (Chapter 16)
- 视频: Worked Example: Page Rank - Visualization (Chapter 16)
- 视频: Office Hours Detroit, Michigan
- 视频: Interview: Anil Jain - Image Processing
已评分: Peer Grade: Page Rank
第 3 周
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.
2 个视频, 2 个阅读材料
- Leyendo: Identifying Your Data Source - Introduction
- Leyendo: List of Data Sources (Instructional Staff Curated)
- Cuadro de aviso de la discusión: Identifying a Data Source
- 视频: Interview: Bruce Schneier - The Security Mindset
第 4 周
Spidering and Modeling Email Data
In our second required 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.
5 个视频, 1 个阅读材料
- Leyendo: Spidering and Modeling Email Data - Introduction
- 视频: Worked Example: Gmane / Mail - Retrieval (Chapter 16)
- 视频: Worked Example: Gmane / Mail - Model (Chapter 16)
- 视频: Office Hours Baltimore, MD
- 视频: Interview: Bruce Schneier - Building Cryptographic Systems
已评分: Loading and Modeling Mail Data
第 5 周
Accessing New Data Sources (Project)
The task for this week is to make a discussion thread post that reflects the progress you have made to date in retrieving and cleaning up your data source so can perform your analysis. Feedback from other students is encouraged to help you refine the process.
1 个视频, 1 个阅读材料
- Leyendo: Accessing New Data Sources - Introduction
- Cuadro de aviso de la discusión: Analyzing a Data Source
第 6 周
Visualizing Email Data
In the final required assignment, we will do two visualizations of the email data you have retrieved and processed: a word cloud to visualize the frequency distribution and a timeline to show how the data is changing over time.
3 个视频, 1 个阅读材料
- Leyendo: Visualizing Email Data
- 视频: Office Hours, Montreal, Canada
- 视频: Interview: Nathaniel Borenstein - The Father of MIME
已评分: Visualizing Email Data
第 7 周
Visualizing new Data Sources (Project)
This week you will discuss the analysis of your data to the class. While many of the projects will result in a visualization of the data, any other results of analyzing the data are equally valued, so use whatever form of analysis and display is most appropriate to the data set you have selected.
2 个视频, 2 个阅读材料
- Leyendo: Visualizing new Data Sources - Introduction
- Cuadro de aviso de la discusión: Data Analysis and Visualization
- 视频: Video: Steve Jobs, NeXT and the Internet
- Leyendo: Post-Course Survey
常见问题解答
运作方式
Trabajo del curso
Cada curso es como un libro de texto interactivo, con videos pregrabados, cuestionarios y proyectos.
Ayuda de tus compañeros
Conéctate con miles de estudiantes y debate ideas y materiales del curso, y obtén ayuda para dominar los conceptos.
Certificados
Obtén reconocimiento oficial por tu trabajo y comparte tu éxito con amigos, compañeros y empleadores.
制作方
University of Michigan
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.
价格
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评分和审阅
I think this course's aim is promoting one's interest and initiative in using python. And I think Dr Chuck has done great job acheiving that. He is quite devoted and enthusiastic.
After completing the specialization, I can say that this is a thorough course for Python programming that starts from the very basics to a pretty in depth understanding of the programming language. It provides with a complete set of skills that can be applied to your very needs. Highly recommended for beginners and people that want to consolidate their knowledge in Python.
Haven't yet taken it but in goodwill have given it a 4 star already
RW
Not up to the excellent level of the previous four modules of this Specialization. While the hands-on practice of this course are very interesting, the speed and depth at which the code is explained are not satisfactory. Too much is just to be taken 'as is'. Good as an appetizer for other Specializations, definitely not adding much knowledge in itself.