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Learner Reviews & Feedback for Data Collection and Processing with Python by University of Michigan

4.7
stars
3,997 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 鈥渢ag recommender鈥� 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 22, 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 10, 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.

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Oct 15, 2020

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Nov 20, 2021

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Oct 25, 2020

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