Capstone: Retrieving, Processing, and Visualizing Data with Python

4.6
2,585 ratings
410 reviews

Course 5 of 5 in the Python for Everybody Specialization

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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Clock

Approx. 7 hours to complete

Sugerido: 6 weeks of study, 2-4 hours/week
Comment Dots

English

Legendas: English

O que você vai aprender

  • Check
    Create email data visualizations
  • Check
    Make use of unicode characters and strings
  • Check
    Select and process the data of your choice
  • Check
    Understand the basics of building a search engine

Habilidades que você terá

Python ProgrammingData VisualizationDatabaseData Analysis
Globe

cursos 100% online

Comece imediatamente e aprenda em seu próprio cronograma.
Clock

Approx. 7 hours to complete

Sugerido: 6 weeks of study, 2-4 hours/week
Comment Dots

English

Legendas: English

Syllabus - What you will learn from this course

1

Section
Clock
2 hours to complete

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....
Reading
4 videos (Total 35 min), 5 readings, 1 quiz
Video4 videos
Unicode Characters and Strings17m
Office Hours in Den Haag, Netherlands3m
Interview: John Resig and Pam Fox - Khan Academy11m
Reading5 readings
Capstone Overview10m
Help Us Learn More About You!10m
Python Textbook10m
Coming from Python 2 - Encoding Data in Python 310m
Notice for Auditing Learners: Assignment Submission10m
Quiz1 practice exercises
Using Encoded Data in Python 310m

2

Section
Clock
2 hours to complete

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. ...
Reading
6 videos (Total 61 min), 1 reading, 1 quiz
Video6 videos
Worked Example: Page Rank - Spidering (Chapter 16)17m
Worked Example: Page Rank - Computation (Chapter 16)15m
Worked Example: Page Rank - Visualization (Chapter 16)6m
Office Hours Detroit, Michigan1m
Interview: Anil Jain - Image Processing11m
Reading1 readings
Building a Search Engine - Introduction10m

3

Section
Clock
1 hour to complete

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....
Reading
2 videos (Total 9 min), 2 readings
Video2 videos
Interview: Bruce Schneier - The Security Mindset7m
Reading2 readings
Identifying Your Data Source - Introduction10m
List of Data Sources (Instructional Staff Curated)10m

4

Section
Clock
2 hours to complete

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....
Reading
5 videos (Total 49 min), 1 reading, 1 quiz
Video5 videos
Worked Example: Gmane / Mail - Retrieval (Chapter 16)17m
Worked Example: Gmane / Mail - Model (Chapter 16)12m
Office Hours Baltimore, MD1m
Interview: Bruce Schneier - Building Cryptographic Systems11m
Reading1 readings
Spidering and Modeling Email Data - Introduction10m

5

Section
Clock
20 minutes to complete

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....
Reading
1 video (Total 5 min), 1 reading
Reading1 readings
Accessing New Data Sources - Introduction10m

6

Section
Clock
2 hours to complete

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....
Reading
3 videos (Total 29 min), 1 reading, 1 quiz
Video3 videos
Office Hours, Montreal, Canada4m
Interview: Nathaniel Borenstein - The Father of MIME11m
Reading1 readings
Visualizing Email Data10m

7

Section
Clock
1 hour to complete

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....
Reading
2 videos (Total 14 min), 2 readings
Video2 videos
Video: Steve Jobs, NeXT and the Internet12m
Reading2 readings
Visualizing new Data Sources - Introduction10m
Post-Course Survey10m
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Top Reviews

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By NSApr 10th 2016

Python for everyone is One of the Best Course on MOOC platform .\n\nDr. Chuck made it interesting and Knowledgeable. Way back 3 Months ,I can't even thing of the stuff that I leaned and implemented .

By JCMay 26th 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.

Instructor

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Charles Severance

Associate Professor

About 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....

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