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
BC
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.
CE
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.
1751 - 1775 of 1,848 Reviews for Capstone: Retrieving, Processing, and Visualizing Data with Python
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 13, 2016
Could have been more hands on.
By Sorokin A
•Jun 20, 2018
too easy for final capstone.
By karttikeya m
•Dec 5, 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 13, 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.
By maytat l
•Apr 22, 2020
The specialization has been great so far until this last course.
This course divides into two tracks: Normal and Honors.
Normal just simply let you complete 20+ multiple choice quiz based on knowledge in the specialization. Then you earn a certificate.
Honors track is what I disliked. Assignment lets you simply run the codes provided by the professor and get in peer-reviews. You just run it, that's all for the honors certificate. It makes sense to just run it because the professor's codes in this course were ways beyond our knowledge gained through the specialization. They were like 5 times longer and more complex. It took me days to figure out a few lines of codes but eventually you no need to understand any of it, just run it.
The improvement for the course would be bringing the codes difficulty down and let us actually edit them for the assignments.