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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.

状态:Interactive Data Visualization
状态:Python Programming
初级课程小时

精选评论

CE

5.0评论日期:Apr 19, 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.

YL

4.0评论日期:Jul 20, 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.

TG

5.0评论日期:Apr 12, 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!

SC

5.0评论日期:Aug 29, 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.

JC

5.0评论日期:May 25, 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.

RG

5.0评论日期:Oct 30, 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.

YH

5.0评论日期:Mar 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.

DC

4.0评论日期:Oct 30, 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.

M

5.0评论日期:Apr 2, 2021

Very great specialization, I didn't know anything about python at first and this course taught me about mastering many skills in python, looking forward to continuing through the Honors Track.Thanks.

AA

5.0评论日期:Aug 24, 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.

MP

5.0评论日期:Apr 22, 2024

Amazing course for beginners, or if you just haven't coded since undergrad and want a great intro/ refresher course to improve your workflow, for anyone who needs to visualize data for work.

BC

5.0评论日期:Apr 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.

所有审阅

显示:20/1,925

Aaron Perez
1.0
评论日期:Aug 9, 2019
Morgan Sliman
1.0
评论日期:Apr 6, 2016
Brendan Clemmer
1.0
评论日期:May 2, 2019
Alex Sokolsky
2.0
评论日期:Jul 20, 2018
Mr. Ayush Barik
1.0
评论日期:Feb 14, 2019
Christopher Lyons
2.0
评论日期:Feb 25, 2020
ali shahid
2.0
评论日期:Aug 4, 2018
Hanyani Mabaso
1.0
评论日期:Nov 15, 2018
Zhisheng Ying
5.0
评论日期:May 6, 2019
Spencer Haupert
2.0
评论日期:Jul 10, 2018
Jeffrey Burslem
1.0
评论日期:May 29, 2016
Stuart Ong Yew Meng
1.0
评论日期:Feb 17, 2019
Misha Strutinsky
1.0
评论日期:Nov 29, 2018
Zhao Shanshan
5.0
评论日期:Jul 7, 2020
Paras Kerai
1.0
评论日期:Jun 27, 2019
Christopher Hassinger
3.0
评论日期:Mar 15, 2019
Ponrajadurai Sokkeswaran
2.0
评论日期:Feb 11, 2019
Brannon Carter
5.0
评论日期:Apr 29, 2020
Justin Cawood
5.0
评论日期:May 26, 2017
Raffaele Losorelli
1.0
评论日期:Oct 25, 2022