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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

    Filled StarFilled StarFilled StarFilled StarHalf Faded Star
    4.7
    stars
    14,122 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

    BC

    Apr 29, 2020

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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

    Filled StarFilled StarFilled StarFilled StarFilled Star

    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.

    Filter by:

    1776 - 1800 of 1,868 Reviews for Capstone: Retrieving, Processing, and Visualizing Data with Python

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    By Peter C

    •

    Jun 1, 2024

    I expected more from the Capstone projects.

    Filled StarFilled StarFilled StarStarStar

    By Ignacio A G H

    •

    Jan 11, 2019

    Really basic but the material is good

    Filled StarFilled StarFilled StarStarStar

    By Salah E

    •

    Jun 28, 2020

    there is nothing new in this course

    Filled StarFilled StarFilled StarStarStar

    By Leonardo B L

    •

    Nov 10, 2017

    Could have more hands-on exercises.

    Filled StarFilled StarFilled StarStarStar

    By Ankush V

    •

    Jun 28, 2018

    Assignments could be a lot better

    Filled StarFilled StarFilled StarStarStar

    By Hoda M

    •

    Nov 2, 2019

    too easy assignments, no points!

    Filled StarFilled StarFilled StarStarStar

    By Rohit K S

    •

    Oct 13, 2016

    Could have been more hands on.

    Filled StarFilled StarFilled StarStarStar

    By Sorokin A

    •

    Jun 20, 2018

    too easy for final capstone.

    Filled StarFilled StarFilled StarStarStar

    By karttikeya m

    •

    Dec 5, 2016

    It is a very light course!

    Filled StarFilled StarFilled StarStarStar

    By Weerachai Y

    •

    Jun 23, 2020

    thanks

    Filled StarFilled StarFilled StarStarStar

    By Weidong X

    •

    Feb 27, 2017

    good.

    Filled StarFilled StarFilled StarStarStar

    By Salla h

    •

    May 30, 2024

    good

    Filled StarFilled StarFilled StarStarStar

    By El-kebir N

    •

    May 14, 2023

    good

    Filled StarFilled StarFilled StarStarStar

    By SANGEETHKUMAR S

    •

    Feb 9, 2021

    Good

    Filled StarFilled StarFilled StarStarStar

    By Mandaliya H

    •

    Jul 13, 2020

    good

    Filled StarFilled StarFilled StarStarStar

    By JYOTI S S

    •

    Feb 8, 2023

    ok

    Filled StarFilled StarStarStarStar

    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.

    Filled StarFilled StarStarStarStar

    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.

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    By Cornelia C

    •

    May 29, 2020

    This is my least favourite course in the specialisation. It was easy to get the certificate as it involved a test that covered principles of the previous 4 courses, which was absolutely fine. When I started course 5 I was very keen to do the honours programme - as a test of my new knowledge and a challenge of pulling together all that I have learnt in a practical project. But as I watched the first few videos, and looked at what was required I decided that the Capstone won't do that for me. It seemed like a lot of given code again (as I experiences in Course 3 with the Twitter URL and API), and merely having to run the code. I then decided not to complete the Capstone, and rather look for something where I can reinforce all my learnings. I honestly loved all that I learnt, but felt a bit let down by the ending.

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    By Muratcan A

    •

    Jan 5, 2018

    I think this capstone course was very rushed and did not actually teach much. It gave me a lot of material (the pre-written codes) to analyze and study, though. And I'm glad for that. However the assignments were little more than "print this, press enter, take screenshot". i.e. no coding involved - which was a disappointment. I have mixed feelings about this course. I had higher expectations. The codes will be very useful, I will be studying them to really nit-pick and understand them and learn all about the functions etc. which are new to me. Other than that I'm actually not very happy about this final course of the specialization. The specialization overall was great, but it was like a great movie with a cheap ending - no climax. Sorry :)

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    By Jakub S

    •

    Jan 17, 2018

    The last course was a disappointment. Instead of letting you use all your gained knowledge and actually wanting from you to use it, you are presented with a complete code and all lectures are just about describing the code and you just running completed scripts and putting printscreens into peer graded assignments. I get the fact that you have to know how to read scripts and the point of looking on projects that are not about just one one script, but I got the impression that this course was about nothing actually.

    What a shame, because the first three courses are really enjoyable and the satisfaction from cracking the problem and writing a working script is great. This course can be completed with 0 knowledge.

    Filled StarFilled StarStarStarStar

    By Michael D

    •

    Mar 26, 2019

    This capstone could be better. The assignments are simply to run code you do not write and the grading of those assignments needs tighter, and more clear, requirements to ensure the graders see what they need to see in order to validate the assignment. The optional assignment, in my opinion, should really be the capstone and students should be required to upload their code and then present a short recording of their data project. That was how a similar capstone from a Duke University Specialization was and I felt like that was a good, real world, use case of the skills learned.

    Filled StarFilled StarStarStarStar

    By Kunal B

    •

    May 7, 2016

    As a captstonse course I expected this to be more challenging than other courses in the specialisation, especially the assignments which should have required to put in some real effort rather than simply executing pre-written scripts and uploading screenshots. Rest of the courses in the specialisation were superb, combined with the awesome teaching skills of Dr. Chuck but capstone was quite disappointing unfortunately.

    Filled StarFilled StarStarStarStar

    By Michel H

    •

    Oct 19, 2021

    Nice examples, but way too much copy & paste from exisiting files. Exercise are highly limited as students just have to run the exisiting code and modify tiny parts of it. After the course I do not have an idea of how to visualize data or results with python. It is just an introductory course but I do not feel ready to work with real (data) problems using python after completing the course.

    Filled StarFilled StarStarStarStar

    By Anton S

    •

    Apr 9, 2017

    Sorry to say that, but this course has nothing related to programming. I like Dr.Chuck courses, especially 2-4 in this specialization, but this course has no programming challenge and check only your ability to make screenshots. If you have any programming experience you don't need this course it doesn't pay off your time you spend for this. Sorry again, but it's my opinion.

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