Back to Data Collection and Processing with Python
Learner Reviews & Feedback for Data Collection and Processing with Python by University of Michigan
3,994 ratings
About the Course
This course teaches you to fetch and process data from services on the Internet. It covers Python list comprehensions and provides opportunities to practice extracting from and processing deeply nested data. You'll also learn how to use the Python requests module to interact with REST APIs and what to look for in documentation of those APIs. For the final project, you will construct a “tag recommender” for the flickr photo sharing site.
The course is well-suited for you if you have already taken the "Python Basics" and "Python Functions, Files, and Dictionaries" courses (courses 1 and 2 of the Python 3 Programming Specialization). If you are already familiar with Python fundamentals but want practice at retrieving and processing complex nested data from Internet services, you can also benefit from this course without taking the previous two.
This is the third of five courses in the Python 3 Programming Specialization.
Top reviews
MI
Jan 21, 2021
very good, very intuitive course material. however doing something in full python environment within the course would have been even better. thank you professors and all others from UMich and coursera
CM
Oct 9, 2019
This was a really excellent course. The functional project at the end helped me understand how recommendation systems work and now I'm very excited to try to build a similar system for books I love.
Filter by:
701 - 702 of 702 Reviews for Data Collection and Processing with Python
By Prakash K
•Apr 29, 2020
Poor and non-reusable wrapper for requests. Don't see a point of practising it.
By Kasia S
•Mar 28, 2024
It was the worst part of whole specialisation. I didn't learn much.