About this Course
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Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 8 hours to complete

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

English

Subtitles: English, Korean

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)

100% online

Start instantly and learn at your own schedule.

Flexible deadlines

Reset deadlines in accordance to your schedule.

Approx. 8 hours to complete

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

English

Subtitles: English, Korean

Syllabus - What you will learn from this course

Week
1
2 hours to complete

Welcome to the Capstone

4 videos (Total 35 min), 5 readings, 1 quiz
4 videos
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
2
2 hours to complete

Building a Search Engine

6 videos (Total 61 min), 2 readings, 1 quiz
6 videos
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
3
1 hour to complete

Exploring Data Sources (Project)

2 videos (Total 9 min), 2 readings
2 readings
Identifying Your Data Source - Introduction10m
List of Data Sources (Instructional Staff Curated)10m
Week
4
2 hours to complete

Spidering and Modeling Email Data

5 videos (Total 49 min), 1 reading, 1 quiz
5 videos
Office Hours Baltimore, MD1m
Interview: Bruce Schneier - Building Cryptographic Systems11m
1 reading
Spidering and Modeling Email Data - Introduction10m
4.6
636 ReviewsChevron Right

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19%

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Top reviews from Capstone: Retrieving, Processing, and Visualizing Data with Python

Highlights
Informative course
(132)
Relevant project
(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

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Charles Russell Severance

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.