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.
This course is part of the Python for Everybody Specialization
Capstone: Retrieving, Processing, and Visualizing Data with Python
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About this Course
175,302
175,302What you will learn
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
Skills you will gain
Data AnalysisPython ProgrammingDatabase (DBMS)Data Visualization (DataViz)
Syllabus - What you will learn from this course
Week
12 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
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 exercise
Using Encoded Data in Python 310m
Week
22 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), 2 readings, 1 quiz
6 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
2 readings
Building a Search Engine - Introduction10m
Peer Graded Assignment - Instructor Input10m
Week
31 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 readings
Identifying Your Data Source - Introduction10m
List of Data Sources (Instructional Staff Curated)10m
Week
42 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
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 reading
Spidering and Modeling Email Data - Introduction10m
4.6
587 Reviews40%
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Top Reviews
Highlights
Relevant project
(132)Informative course
(132)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 .
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
Charles Severance
ProfessorSchool of Information
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.
About the Python for Everybody Specialization
This Specialization builds on the success of the Python for Everybody course and will introduce fundamental programming concepts including data structures, networked application program interfaces, and databases, using the Python programming language. In the Capstone Project, you’ll use the technologies learned throughout the Specialization to design and create your own applications for data retrieval, processing, and visualization.
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 subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
What is the refund policy?
Is financial aid available?
More questions? Visit the Learner Help Center.
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