關於此課程：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.
製作方： University of Michigan
教學方： Charles Severance, Associate Professor
School of Information
| 基本信息 | 課程 5（共 5 門，零基础 Python 入门 Specialization ） |
| 承諾學習時間 | 6 weeks of study, 2-4 hours/week |
| 語言 | English |
| 如何通過 | 通過所有計分作業以完成課程。 |
| 用戶評分 |
授課大綱
第 1 週
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 個視頻, 5 個閱讀材料
- Материал для самостоятельного изучения: Capstone Overview
- Материал для самостоятельного изучения: Help Us Learn More About You!
- Материал для самостоятельного изучения: Python Textbook
- Материал для самостоятельного изучения: Coming from Python 2 - Encoding Data in Python 3
- 視頻: Unicode Characters and Strings
- Материал для самостоятельного изучения: Notice for Auditing Learners: Assignment Submission
- 視頻: Office Hours in Den Haag, Netherlands
- 視頻: Interview: John Resig and Pam Fox - Khan Academy
已評分: Using Encoded Data in Python 3
第 2 週
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 個視頻, 1 個閱讀材料
- Материал для самостоятельного изучения: Building a Search Engine - Introduction
- 視頻: Worked Example: Page Rank - Spidering (Chapter 16)
- 視頻: Worked Example: Page Rank - Computation (Chapter 16)
- 視頻: Worked Example: Page Rank - Visualization (Chapter 16)
- 視頻: Office Hours Detroit, Michigan
- 視頻: Interview: Anil Jain - Image Processing
已評分: Peer Grade: Page Rank
第 3 週
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 個視頻, 2 個閱讀材料
- Материал для самостоятельного изучения: Identifying Your Data Source - Introduction
- Материал для самостоятельного изучения: List of Data Sources (Instructional Staff Curated)
- Вопрос для обсуждения: Identifying a Data Source
- 視頻: Interview: Bruce Schneier - The Security Mindset
第 4 週
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 個視頻, 1 個閱讀材料
- Материал для самостоятельного изучения: Spidering and Modeling Email Data - Introduction
- 視頻: Worked Example: Gmane / Mail - Retrieval (Chapter 16)
- 視頻: Worked Example: Gmane / Mail - Model (Chapter 16)
- 視頻: Office Hours Baltimore, MD
- 視頻: Interview: Bruce Schneier - Building Cryptographic Systems
已評分: Loading and Modeling Mail Data
第 5 週
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 個視頻, 1 個閱讀材料
- Материал для самостоятельного изучения: Accessing New Data Sources - Introduction
- Вопрос для обсуждения: Analyzing a Data Source
第 6 週
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 個視頻, 1 個閱讀材料
- Материал для самостоятельного изучения: Visualizing Email Data
- 視頻: Office Hours, Montreal, Canada
- 視頻: Interview: Nathaniel Borenstein - The Father of MIME
已評分: Visualizing Email Data
第 7 週
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 個視頻, 2 個閱讀材料
- Материал для самостоятельного изучения: Visualizing new Data Sources - Introduction
- Вопрос для обсуждения: Data Analysis and Visualization
- 視頻: Video: Steve Jobs, NeXT and the Internet
- Материал для самостоятельного изучения: Post-Course Survey
常見問題解答
運作方式
Задания курса
Каждый курс — это интерактивный учебник, который содержит видеоматериалы, тесты и проекты.
Помощь сокурсников
Общайтесь с тысячами других учащихся: обсуждайте идеи, материалы курса и помогайте друг другу осваивать новые понятия.
Сертификаты
Получите документы о прохождении курсов и поделитесь своим успехом с друзьями, коллегами и работодателями.
製作方
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.
價格
| 購買課程 | |
|---|---|
| 訪問課程材料 | 可用 |
| 訪問評分的材料 | 可用 |
| 收到最終成績 | 可用 |
| 獲得可共享的課程證書 | 可用 |
評分和審閱
nice
Very informative course!
very good course and really helpful
PC
good