Learner Reviews & Feedback for Capstone: Retrieving, Processing, and Visualizing Data with Python by University of Michigan
About the Course
(132 Reviews)
(132 Reviews)
Top reviews
JS
Aug 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.
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.
1801 - 1825 of 1,901 Reviews for Capstone: Retrieving, Processing, and Visualizing Data with Python
By Venkatesh G
•Aug 21, 2021
Could have been better. The explanations are rushed through
By Mcvean S
•Jun 18, 2020
It is a good capstone, but it is very time consuming!
By Radoslaw
•Aug 9, 2019
mostly using a prepared scripts, not much learning
By Iulian D
•Sep 28, 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 14, 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 heman v a u
•May 29, 2024
good
By El-kebir N
•May 14, 2023
good
By SANGEETHKUMAR S
•Feb 8, 2021
Good
By Mandaliya H
•Jul 12, 2020
good
By JYOTI S S
•Feb 8, 2023
ok
By Alan M R
•Jan 9, 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.