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
Data Collection and Processing with Python
This course is part of Python 3 Programming Specialization
Instructor: Paul Resnick
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4.7
(4,001 reviews)
Intermediate level
Some related experience required
Flexible schedule
Approx. 20 hours
Learn at your own pace
97%
Most learners liked this course
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
Details to know
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Assessments
2 assignments
Taught in English
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This course is part of the Python 3 Programming Specialization
When you enroll in this course, you'll also be enrolled in this Specialization.
- Learn new concepts from industry experts
- Gain a foundational understanding of a subject or tool
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- Earn a shareable career certificate
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
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Taking this course by University of Michigan may provide you with a preview of the topics, materials and instructors in a related degree program which can help you decide if the topic or university is right for you.
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4.7
4,001 reviews
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Showing 3 of 4001
HJ
5
Reviewed on Jan 25, 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.
VE
5
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.
GR
5
Reviewed on Jan 2, 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.
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Frequently asked questions
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
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When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
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