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University of Michigan

Data Collection and Processing with Python

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.

Status: Data Persistence
Status: Restful API
IntermediateCourse21 hours

Featured reviews

DP

4.0Reviewed Feb 5, 2021

Good course like the others in the specialization! I found the end of course project unnecessary difficult because there were some subtle errors from the assessment questions and grader.

GR

5.0Reviewed Jan 3, 2022

Excellent course. Highly recommended. I learned a lot about parts of Python that I was not previously proficient in. I will definitely use what I learned in a job that I'm just about to start.

AV

5.0Reviewed Aug 10, 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).

VE

5.0Reviewed May 17, 2020

I thoroughly enjoyed this course, and found myself often looking forward to Prof. Resnick's jokes. I also came to see the beauty and simplicity of Python. Great course. Great language.

HJ

5.0Reviewed Jan 26, 2020

Another solid course in python programming specialization. After taking this course, you will be able to call data from API and manipulate nasty and unorganized set of dictionary and lists.

CM

5.0Reviewed 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.

SS

5.0Reviewed Jun 8, 2020

Excellent. I learned a lot of useful information. The videos are good, and the final project put it all together ad a challenging exercise. Worth the time spend, that is for sure.

MI

5.0Reviewed 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

OH

5.0Reviewed Feb 14, 2020

Once more very useful lessons. Be careful on the final project though, it is more prone to errors (even ones you might not be responsible for) than anything else up to this point.

RC

4.0Reviewed Jul 4, 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.

SH

5.0Reviewed Oct 15, 2020

The class is very basic. Excellent for people without a programming background. Slow for those who do, but you can skip through concepts you already understand. The exercises are very useful.

VU

5.0Reviewed Oct 27, 2021

T​he final assignment which requires secondary sort on string in rever order is genius!T​ook a lot of trial and error to get it right.R​eally learned the power of lambda and sorting

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