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Avis et commentaires pour l'étudiant pour Capstone: Retrieving, Processing, and Visualizing Data with Python par Université du Michigan

4.6
5,061 notes
693 avis

À propos du cours

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....
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Relevant project
(132 avis)
Informative course
(132 avis)

Meilleurs avis

JC

May 26, 2017

I found this course a little bit easier that some of the previous courses, however, it allowed me to gain experience managing a larger projects that encompass several languages and multiple programs.

NS

Apr 10, 2016

Python for everyone is One of the Best Course on MOOC platform .\n\nDr. Chuck made it interesting and Knowledgeable. Way back 3 Months ,I can't even thing of the stuff that I leaned and implemented .

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26 - 50 sur 672 Examens pour Capstone: Retrieving, Processing, and Visualizing Data with Python

par Paras K

Jun 27, 2019

Need harder assignments which involve editing code and get the user thinking more about what is going on in the videos.This course is basically running premade code and taking screenshots. The optional element is a bit confusing as there is no focus given. I still haven't decided what data to use and what analysis to perform. All in all, Capstone is a waste of time, do first 4.

par Misha

Nov 29, 2018

Absolutely wasting time & money course. Python for nobody. Whole specialization can be merged in 1 course Python intro. A lot of redundant video & same tasks.

par Aaron P

Aug 09, 2019

I already expressed this to Coursera, but I'll reiterate here. This was a terrible ending to the specialization.

Let me make this clear, I loved all of the previous courses before this one. This time around I noticed very untypical characteristics.

For one, the teaching staff was very rude. In this course, the came off as argumentative with sarcastic undertones to virtually EVERYTHING posted in the discussion board. Two of the staff members in particular, Tamara Brunnock and Stephen Catto, were very unapproachable and combative. I remember asking for someone to take a look at my assignment for grading, to which I was met with Tamara commenting "Did you not read the assigned reading? You need to allow up to three days for grading. Is 5 hours three days?"

What kind of a response is that? In fact, I wasn't even asking for a staff grade, I was asking for peer grading! To which she ARGUED back "I doesn't say that anywhere in your post."

The interactions in this course are VERY unsettling. If I feel shy or feel as though I'll be verbally punished for asking a QUESTION, what does that say about this organization?

This is a course I sacrifice finances and time for, so I expect quick ANSWERS to my questions, not arguments or sass.

par Navid M M

Mar 26, 2019

This course was not at all productive. It was a collection of samples that the professor didn't care to go over in depth. I would have preferred if he had spent all of the time on one code so we could know everything about it. The whole course was just attempting "python3 code.py". The homework was vague according to the points that were taken off by the instructor. Once I get "you should have taken a photo from the beginning of the process" and once I get something else which was not asked clearly in the homework. I loved the other 4 courses in the specialization but this one was just a waste of time and money. Sorry for being so frank but I expected a lot more from the teaching staff and coursera itself.

par Rafael E F O

Jan 17, 2019

It was awesome to do the projects of this capstone and to learn about data modeling, pagerank algorithm, web scrapping, email data parsing and data visualization.

par Omar E

Jan 17, 2019

Awesome Course

par Ganesh C

Feb 03, 2019

slow peer grading system

par ANIRUDDHA B

Feb 04, 2019

Fantastic Course, whatever I have learned I can use it in real life projects. Thank you.

par Luciana M G

Dec 14, 2018

This course was really good. It exceeded my expectations as a beginner in programming!

par Luis T

Dec 13, 2018

Great course, because you can explore the inmense capacity of python for data retrieving, spidering the web and visualization of the most common content.

par 黃中彥

Jan 06, 2019

The most important is not the certification. Is how much you learned. I learned very much by reproducing the works. Thank you dr.Chuck and teaching staff.

par Alexandre A R

Jan 11, 2019

really wrap up of the specialization

par Naveen K B V

Feb 23, 2019

Excellent!

par Nallamalli N K

Feb 23, 2019

the best course on the internet

par Melany B

Feb 24, 2019

Great introductory course, great material and teaching techniq

par Skorykh M

Mar 05, 2019

It was cool. Thanks a lot, Dr.

Chuck!

par 张越

Mar 04, 2019

bang

par KISLAY K D

Mar 06, 2019

thankyou so much for this. i really learnt a lot

par Paul s J

Mar 06, 2019

I loved this part since it allows you to go out on your own and analyze your own data sources.

par Draidi F

Mar 07, 2019

Dr Chuck is simply the greatest .... thanks a lot

par Агеев С В

Mar 09, 2019

Nice course, but easier than previous 4 in this curriculum.

In general very interesting cases. For me it was very useful to understand basic principles how it works. Thank you, Dr. Chuck!

par Sarah H H

Mar 15, 2019

I really enjoyed the complex code. I wish I had to learn more about it, but enjoyed the overview!

par Yunhong H

Mar 23, 2019

This is a great course. I like this course very much because I can retrieve, process and visualize data in Python in a very good way I never used before. This course is very useful in real world.

par Dao X H

Dec 19, 2018

Goood

par Hathout

Dec 08, 2018

Great 5 Courses