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Capstone- Retrieving, Processing, and Visualizing Data with Python

پکیج پایتون برای همه ، دوره 5 : Capstone- Retrieving, Processing, and Visualizing Data with Python

درباره‌ی این دوره:

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.

این شامل 7 زیر است:

جزئیات بیشتر فصل

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.

  • درس Introduction- Welcome to the Class
  • درس Unicode Characters and Strings
  • درس Office Hours in Den Haag, Netherlands
  • درس Interview- John Resig and Pam Fox - Khan Academy
جزئیات بیشتر فصل

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.

  • درس Page Rank Overview
  • درس Worked Example- Page Rank - Spidering (Chapter 16)
  • درس Worked Example- Page Rank - Computation (Chapter 16)
  • درس Worked Example- Page Rank - Visualization (Chapter 16)
  • درس Office Hours Detroit, Michigan
  • درس Interview- Anil Jain - Image Processing
جزئیات بیشتر فصل

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.

  • درس Interview- Bruce Schneier - The Security Mindset
جزئیات بیشتر فصل

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.

  • درس Gmane Introduction
  • درس Worked Example- Gmane / Mail - Retrieval (Chapter 16)
  • درس Worked Example- Gmane / Mail - Model (Chapter 16)
  • درس Office Hours Baltimore, MD
  • درس Interview- Bruce Schneier - Building Cryptographic Systems
جزئیات بیشتر فصل

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.

  • درس Office Hours- Dr. Chuck Pretends to be Anthony Bourdain
جزئیات بیشتر فصل

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.

  • درس Worked Example- Gmane / Mail - Visualization (Chapter 16)
  • درس Office Hours, Montreal, Canada
  • درس Interview- Nathaniel Borenstein - The Father of MIME
جزئیات بیشتر فصل

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.

  • درس Office Hours - Dr. Chuck's Office - Ann Arbor, Michigan
  • درس Video- Steve Jobs, NeXT and the Internet

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