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.



Data Collection and Processing with Python
This course is part of Python 3 Programming Specialization

Instructor: Paul Resnick
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102,888 already enrolled
(3,987 reviews)
What you'll learn
Fetch and process data from Internet services effectively.
Master Python list comprehensions for data extraction and processing.
Utilize the Python requests module to interact with REST APIs and navigate API documentation.
Skills you'll gain
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There are 4 modules in this course
What's included
5 videos3 readings1 ungraded lab
In week one the video lectures and activities from the Runestone textbook will cover more complex data structures. By the end of this week, you will have learned how to process json formatted data, traverse nested data using nested iteration, and extract values from nested data.
What's included
13 videos1 assignment1 programming assignment8 app items1 ungraded lab
In week two you will be learning more advanced forms of accumulation. By the end of the week, you will have learned how to use the map and filter functions in combination with functions to transform or filter out data and store the resulting data in a new object. You will have also learned how to accumulate data using a list comprehension.
What's included
13 videos1 assignment1 programming assignment6 app items3 ungraded labs
In week three you will learn how to request data from the internet using Application Programming Interfaces (APIs). By the end of the week, you will have learned how to access data from a few APIs, cache data that you have requested, and also learned how to read and work with other APIs that were not touched on in the module.
What's included
25 videos2 readings1 programming assignment12 app items2 ungraded labs
Instructor

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Reviewed on 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
Reviewed on 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.
Reviewed on May 16, 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.
Recommended if you're interested in Computer Science
Nanjing University
University of Michigan
University of Michigan
University of California, Davis

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