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

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

4.7
stars
13,856 ratings

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

NS

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Python for everyone is One of the Best Course on MOOC platform .

Dr. Chuck made it interesting and Knowledgeable. Way back 3 Months ,I can't even thing of the stuff that I leaned and implemented .

SJ

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Just had to take 1 quiz which were quite direct and the same questions as those from previous 4 courses, in order to get this certificate. I'm gonna try to get honors mention on my certificate.

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1726 - 1750 of 1,822 Reviews for Capstone: Retrieving, Processing, and Visualizing Data with Python

By Ravjot S

Jun 19, 2020

This course had no code writing, which made it kind of boring.

By Artem N

Jan 8, 2020

Nothing to create by ourselves but a lot of apps just to run

By Venkatesh G

Aug 21, 2021

Could have been better. The explanations are rushed through

By Mcvean S

Jun 19, 2020

It is a good capstone, but it is very time consuming!

By Radoslaw

Aug 10, 2019

mostly using a prepared scripts, not much learning

By Iulian D

Sep 29, 2016

Nice course, yet more hands on work was expected.

By Roman P

Apr 22, 2018

Not enough practice and pythonic visualization

By Mavlonova F T

Apr 15, 2024

sertifikatni ololmayapman kursni tugatsam ham

By Peter C

Jun 1, 2024

I expected more from the Capstone projects.

By Ignacio A G H

Jan 11, 2019

Really basic but the material is good

By Salah E

Jun 28, 2020

there is nothing new in this course

By Leonardo B L

Nov 10, 2017

Could have more hands-on exercises.

By Ankush V

Jun 28, 2018

Assignments could be a lot better

By Hoda M

Nov 2, 2019

too easy assignments, no points!

By Rohit K S

Oct 12, 2016

Could have been more hands on.

By Sorokin A

Jun 20, 2018

too easy for final capstone.

By karttikeya m

Dec 4, 2016

It is a very light course!

By Weerachai Y

Jun 23, 2020

thanks

By Weidong X

Feb 27, 2017

good.

By Salla h

May 30, 2024

good

By El-kebir N

May 14, 2023

good

By SANGEETHKUMAR S

Feb 9, 2021

Good

By Mandaliya H

Jul 12, 2020

good

By JYOTI S S

Feb 8, 2023

ok

By Alan M R

Jan 10, 2018

As an experienced programmer, I am disappointed. The assignments cover a good set of tools; the capstone project. Overall, the course is well structured; content switches between running a sample project and a student project. Collaberation is encouraged. Unfortunately, the example project is poorly written and buggy. I finally lost confidence in the instructor when I saw circular programming in program gmodel.py between function "fixsender" and array "mapping". The student selected project was entirely optional. There are comments in the forums from students pointing out bugs; other comments stated that the course's exercises left commenters unable to perform the final, capstone project. Overall, the presentation looks rushed and unpolished. Example code looks like it was hobbled together until it worked and never edited for clarity. If someone I cared about wanted examples of good programming, I would tell them to avoid this.