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

4.7
stars
4,038 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

AV

Aug 9, 2020

Great course for nested data analysis, list comprehension and introduces one into the world of APIs. Lots to learn with special treats in the form of Dr. Resnick's dad jokes (pun intended).

RC

Jul 3, 2023

This course presents useful concepts, but as with earlier courses in this specialization, it is geared toward learners who are new to programming. Experienced learners may expect a greater challenge.

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By Mohamed E

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May 10, 2021

5 stars

By Paul G H O

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Dec 13, 2020

amazing

By Rifat R

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May 4, 2020

Awesome

By mukkarramboy u

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Mar 30, 2024

хорошо

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Oct 14, 2020

Great!

By ANISH K

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Aug 5, 2020

v good

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Apr 9, 2020

Great!

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Mar 5, 2019

Great!

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Jun 17, 2025

great

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good!

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Jul 28, 2022

Great

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May 15, 2022

good

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Oct 24, 2020

great

By Khue L H

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Jul 28, 2020

great

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May 21, 2020

great

By Jackson S L A

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Oct 10, 2019

Good!

By Volodymyr K

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Jun 12, 2019

Great

By Anvar T

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Mar 27, 2025

good

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Mar 18, 2025

GOOD

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Jun 3, 2024

good

By Sarvinoz M

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May 22, 2024

OLGA

By Qurbonboyev G S o

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Apr 13, 2024

best

By Azizbek S

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Mar 7, 2024

okey

By Asish S

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Dec 5, 2023

good

By Anshita D

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Dec 2, 2023

good