About this Course
4.6
3,575 ratings
515 reviews
Specialization
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100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 7 hours to complete

Suggested: 6 weeks of study, 2-4 hours/week...
Available languages

English

Subtitles: English

What you will learn

  • 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

Skills you will gain

Data AnalysisPython ProgrammingDatabase (DBMS)Data Visualization (DataViz)
Specialization
100% online

100% online

Start instantly and learn at your own schedule.
Flexible deadlines

Flexible deadlines

Reset deadlines in accordance to your schedule.
Hours to complete

Approx. 7 hours to complete

Suggested: 6 weeks of study, 2-4 hours/week...
Available languages

English

Subtitles: English

Syllabus - What you will learn from this course

Week
1
Hours to complete
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 exercise
Using Encoded Data in Python 310m
Week
2
Hours to complete
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), 2 readings, 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
Reading2 readings
Building a Search Engine - Introduction10m
Peer Graded Assignment - Instructor Input10m
Week
3
Hours to complete
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
Week
4
Hours to complete
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 reading
Spidering and Modeling Email Data - Introduction10m
4.6
515 ReviewsChevron Right
Career direction

48%

started a new career after completing these courses
Career Benefit

83%

got a tangible career benefit from this course
Career promotion

15%

got a pay increase or promotion

Top Reviews

Highlights
Relevant project
(132)
Informative course
(132)
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

Avatar

Charles Severance

Associate Professor
School 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....
Python for Everybody

Frequently Asked Questions

  • 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.

  • 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.

More questions? Visit the Learner Help Center.