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Learner Reviews & Feedback for Capstone: Retrieving, Processing, and Visualizing Data with Python by University of Michigan

4.7
stars
11,907 ratings
1,550 reviews

About the Course

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....
Highlights
Informative course
(132 Reviews)
Relevant project
(132 Reviews)

Top reviews

AG
Jul 9, 2021

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.

BC
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.

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1201 - 1225 of 1,523 Reviews for Capstone: Retrieving, Processing, and Visualizing Data with Python

By angushushu

Dec 27, 2018

good

By Mallepoola P k

Oct 8, 2018

Good

By Venkata K

Oct 5, 2018

good

By beeram g

Oct 5, 2018

GOOD

By Shaik S S

Sep 24, 2018

good

By Pooja C

Sep 20, 2018

good

By Chavali S

Sep 19, 2018

nice

By Bhupathiraju k

Jul 20, 2018

good

By vasavi

Jun 13, 2018

good

By Vedant G

May 14, 2017

Best

By 林玮

Nov 3, 2016

非常棒!

By 朱荣荣

Jun 17, 2016

good

By Ricardo I P U

Feb 22, 2021

top

By ANANYA K

Jun 4, 2020

nyc

By Leonardo E S P

Sep 12, 2021

ok

By Bijin B

Jul 25, 2020

OK

By Luis A S R

Jun 29, 2020

ok

By Jatin G

May 26, 2020

ok

By Shital B

May 4, 2020

ok

By 林韋銘

Oct 16, 2019

gj

By Peddireddy P

Jul 29, 2020

.

By PONNAMPALLE B G L L

Apr 14, 2020

m

By Shuning

Feb 18, 2018

!

By Ben L

Aug 4, 2017

I liked the idea of doing a capstone project to bring together all of the skills of the previous courses. This course is pretty good and Dr. Chuck's teaching style is a plus as always. But there were a few reasons why I was a little less enthusiastic than the previous courses of this specialization. For this capstone, the videos aren't all that helpful when the assignments require few changes to the scripts that are readily available. The most I learned was when I was working on a project or question that I was interested in. If I got stuck, then I would then go back and watch the videos in closer detail where I got stuck and/or code in the examples. That would solidify the lessons a little bit more in my head. The quiz format in the earlier courses was great but it wasn't included here, partly because of the format. What could be done in the capstone is to have snippets of code that are missing then ask us to fill it in. Alternatively, you can have different snippets of code and ask us which is correct to properly execute a section. In addition, I thought we would get to present our coding work on the project of interest, even if it was just optional. Sharing our work would have allowed for a shared sense of accomplishment with others who finished the specialization. Group gratification can be a good motivator. In the end, though, I really enjoyed this specialization and enjoyed completing the courses.

By Николай В П

May 4, 2020

I wanted to mention that this last course in the specialization, despite being as great as the other four, has a huge number of typos. I took screenshots of some of them which I can share at nicolas.posunko@gmail.com. I'll try to list those I noticed since I can't paste the screenshots here:

— Week 7 > Visualizing new Data Sources - Introduction: This week you will discuss the analysis of your data *to the class*.

— Final test: Which of the following lines will never print out regardless *fo* the value of "x"?

— Final test: To *insure* that all Python reserved words are properly spelled.

— Week 4 > Loading and Modeling Mail Data: *This assignment you will start* the spidering of …

— Week 4 > Mailing List Data - Part I: … and it *make* take a few days to get graded.

— Week 5 > README: Analyzing an EMAIL Archive from gmane and *vizualizing* the data …

— Week 6 > Visualizing Email Data: … we must *be* remember that not all …

— Week 6 > Visualizing Email Data: This is also a good time *to remember to remind* those with slow …