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Volver a Capstone: Retrieving, Processing, and Visualizing Data with Python

Capstone: Retrieving, Processing, and Visualizing Data with Python, Universidad de Míchigan

4.6
4,159 calificaciones
578 revisiones

Acerca de este Curso

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....
Aspectos destacados
Informative course
(132 revisiones)
Relevant project
(132 revisiones)

Principales revisiones

por 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.

por 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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557 revisiones

por Erik Nicolás Andres Silva

Apr 11, 2019

Would've liked more coding exercises instead of being provided the source code and a code walkthrough

por Laurent Magnin

Apr 08, 2019

great example!!, i would have liked to do a bit more than runing script and screenshot, but it takes time i guess

por George Spak

Apr 05, 2019

clear, concise and complete

por Satish Nair

Apr 05, 2019

I did all the courses under this specialisation and I can only say thank you Dr Chuck - it was absolutely fantastic. When I started the course, my objective was to learn enough to be able to understand how to start and how to seek help when stuck. And I have definitely achieved that and much more.

por Kapugamage Sudesh Madushanka

Mar 29, 2019

Better if you will be able to walk through code

por Navid Mohammad Mirzaei

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.

por Michael Downing

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.

por Agnes He

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.

por PRANSHU PRIYA

Mar 19, 2019

I have completed the whole specialization successfully and Coursera and FFE and ofcourse, my guide, Dr. Chuck have been a constant source of motivation. I am really really thankful for this whole support of yours.

por Yogesh Pandya, D.

Mar 18, 2019

Sessions were going bit fast as compared to last 4 modules which were at good pace to catch up, frankly did got much of things discussed in this module will try to go though with my pace and try to understand.