Back to Capstone: Retrieving, Processing, and Visualizing Data with Python
University of Michigan

Capstone: Retrieving, Processing, and Visualizing Data with Python

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.

Status: Data Cleansing
Status: Data Analysis
BeginnerCourse9 hours

Featured reviews

CE

5.0Reviewed Apr 20, 2017

Excellent, simply the best experience of on line education I have had, the course is extremely complete and useful, the support of the staff of mentors is remarkable also, I am extremely grateful.

YH

5.0Reviewed Mar 23, 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.

TG

5.0Reviewed Apr 13, 2020

I am impressed at how much information we can search and analyze on the web. This specialization has really opened my eyes to how easy it is to gather information from the web. Thanks Dr. Chuck!

CD

5.0Reviewed Oct 16, 2020

This whole specialisation is really well planned and simple enough to follow through. Kudos to the instructor who is engaging and able to distil difficult concepts down to something simpler.

YL

4.0Reviewed Jul 21, 2018

Great course. Nice introduction as a capstone course. Give all the programs a journal students needed. However, don't have the peer review for the self-study project make it's easier to pass.

DC

4.0Reviewed Oct 31, 2016

The sample solution and explanations are very good since it gives a complete whole picture of doing a big data analysis project. The assignment is very easy, but good to get the specialization.

AA

5.0Reviewed Aug 25, 2024

Absolutly awesome!I usually fall asleep easily in classes, and online classes are even easier. But Dr. Charles's course is interesting, well-structured, and informative, covering a lot of detail.

SC

5.0Reviewed Aug 30, 2020

Pretty good conclusion to the entire specialization, there is also Honors program that helps in building a collaborative spirit and generally helping students with their project-making skills.

RB

4.0Reviewed Aug 24, 2018

I enjoyed the course series, the capstone I though should be a program that we design, however, that would be very time consuming and would take personalized instruction and aid. Good class overall.

MA

5.0Reviewed Dec 29, 2021

Greetings,thank you very much, the courcse was useful and exiteing, easy to learn and useful projects.Appreciate the instructor and thank you coursera for this course.Best regards.Musab O.Agha

RG

5.0Reviewed Oct 31, 2017

Excellent certificate; the project was a bit too easy, but I guess its purpose was to show that something seemingly complex was the result of breaking things into simpler and more manageable pieces.

BC

5.0Reviewed Apr 29, 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.

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