Spécialisation Python for Everybody

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.

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Approx. 7 hours to complete

Recommandé : 6 weeks of study, 2-4 hours/week

English

Sous-titres : English

Ce que vous allez apprendre

Create email data visualizations

Make use of unicode characters and strings

Select and process the data of your choice

Understand the basics of building a search engine

Compétences que vous acquerrez

Python ProgrammingData VisualizationDatabaseData Analysis

Cours en ligne à 100 %

Commencez dès maintenant et apprenez aux horaires qui vous conviennent.

Approx. 7 hours to complete

Recommandé : 6 weeks of study, 2-4 hours/week

English

Sous-titres : English

Syllabus - What you will learn from this course

1

Section

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....

4 videos (Total 35 min), 5 readings, 1 quiz

4 videos

Introduction: Welcome to the Class2m

Unicode Characters and Strings17m

Office Hours in Den Haag, Netherlands3m

Interview: John Resig and Pam Fox - Khan Academy11m

5 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

1 practice exercises

Using Encoded Data in Python 310m

2

Section

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. ...

6 videos (Total 61 min), 1 reading, 1 quiz

6 videos

Page Rank Overview8m

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

1 readings

Building a Search Engine - Introduction10m

3

Section

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....

2 videos (Total 9 min), 2 readings

2 videos

Dr. Chuck's New Kitten - Sakaiger1m

Interview: Bruce Schneier - The Security Mindset7m

2 readings

Identifying Your Data Source - Introduction10m

List of Data Sources (Instructional Staff Curated)10m

4

Section

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....

5 videos (Total 49 min), 1 reading, 1 quiz

5 videos

Gmane Introduction6m

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

1 readings

Spidering and Modeling Email Data - Introduction10m

5

Section

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....

1 video (Total 5 min), 1 reading

1 videos

Office Hours: Dr. Chuck Pretends to be Anthony Bourdain4m

1 readings

Accessing New Data Sources - Introduction10m

6

Section

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....

3 videos (Total 29 min), 1 reading, 1 quiz

3 videos

Worked Example: Gmane / Mail - Visualization (Chapter 16)13m

Office Hours, Montreal, Canada4m

Interview: Nathaniel Borenstein - The Father of MIME11m

1 readings

Visualizing Email Data10m

7

Section

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....

2 videos (Total 14 min), 2 readings

2 videos

Office Hours - Dr. Chuck's Office - Ann Arbor, Michigan1m

Video: Steve Jobs, NeXT and the Internet12m

2 readings

Visualizing new Data Sources - Introduction10m

Post-Course Survey10m

Instructor

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....

Frequently Asked Questions

When will I have access to the lectures and assignments?
Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.
What will I get if I pay for this course?
If you pay for this course, you will have access to all of the features and content you need to earn a Course Certificate. If you complete the course successfully, your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. Note that the Course Certificate does not represent official academic credit from the partner institution offering the course.
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Spécialisation Python for Everybody