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
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Python for Everybody SpecializationUniversity of MichiganAbout this Course
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Course 5 of 5 in the
Approx. 9 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English, Spanish
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Try Coursera for BusinessWhat you will learn
Make use of unicode characters and strings
Understand the basics of building a search engine
Select and process the data of your choice
Create email data visualizations
Skills you will gain
- Data Analysis
- Python Programming
- Database (DBMS)
- Data Visualization (DataViz)
Flexible deadlines
Reset deadlines in accordance to your schedule.
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 5 of 5 in the
Approx. 9 hours to complete
English
Subtitles: Arabic, French, Portuguese (European), Italian, Vietnamese, Korean, German, Russian, English, Spanish
Could your company benefit from training employees on in-demand skills?
Try Coursera for Business
Offered by
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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This course is part of the 100% online Master of Applied Data Science from University of Michigan.
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Syllabus - What you will learn from this course
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.
2 hours to complete
4 videos (Total 36 min), 6 readings, 1 quiz
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 optional Honors 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.
2 hours to complete
6 videos (Total 61 min), 2 readings, 1 quiz
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.
1 hour to complete
2 videos (Total 9 min), 2 readings
2 hours to complete
Spidering and Modeling Email Data
In our second optional Honors 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.
2 hours to complete
5 videos (Total 49 min), 1 reading, 1 quiz
Reviews
- 5 stars81.55%
- 4 stars12.79%
- 3 stars3.56%
- 2 stars1.13%
- 1 star0.95%
HIGHLIGHTS
"Informative course" in 132 reviews
"Relevant project" in 132 reviews
TOP REVIEWS FROM CAPSTONE: RETRIEVING, PROCESSING, AND VISUALIZING DATA WITH PYTHON
by PSApr 8, 2016
Not much coding to do here - but a lot to understand in terms of getting data - treating it and then using it.
Thanks You Dr. Chuck!
Will be waiting for further courses from you!
by BCApr 28, 2020
Now I understand how data mining, API's and dumping and retrieving data from a database works. Excellent course to start understanding how python can be used to work with data sources on the internet.
by YHMar 22, 2019
This is a great course. I like this course very much because I can retrieve, process and visualize data in Python in a very good way I never used before. This course is very useful in real world.
by JSAug 26, 2017
Really great sample code for working on other projects in the future. Good wrap up to the specialization. I was hoping there was more code editing required to complete the three assignments.
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.
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