This course is part of the Python 3 Programming Specialization

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Paul Resnick

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Associated with the Master of Applied Data Science degree
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Python 3 Programming SpecializationUniversity of Michigan

About this Course

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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.

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Course 3 of 5 in the

Python 3 Programming Specialization

Intermediate Level

Approx. 16 hours to complete

English

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Flexible deadlines

Reset deadlines in accordance to your schedule.

Shareable Certificate

Earn a Certificate upon completion

100% online

Start instantly and learn at your own schedule.

Course 3 of 5 in the

Python 3 Programming Specialization

Intermediate Level

Approx. 16 hours to complete

English

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Instructor

Instructor rating

4.76/5 (433 Ratings)

Paul Resnick

Michael D. Cohen Collegiate Professor

School of Information

409,652 Learners

9 Courses

Offered by

University of Michigan

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This course is related to the 100% online Master of Applied Data Science from University of Michigan. It will provide you with a preview of the topics, materials and instructors so you can decide if the full online degree program is right for you.

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Syllabus - What you will learn from this course

Content Rating98%(8,947 ratings)

Week1

Week 1

6 hours to complete

Nested Data and Nested Iteration

6 hours to complete

15 videos (Total 127 min), 10 readings, 3 quizzes

15 videos

Introduction to the Specialization11mHow to Use the Interactive Textbook14mIntroduction - Nested Data1mNested Lists17mNested Dictionaries6mJSON Format and the JSON Module7mConclusion - Nested Data1mIntroduction - Nested Iteration1mNested Iteration19mStructuring Nested Data6mShallow Copies7mDeep Copies10mExtracting from Nested Data13mA Worked Example of Nested Iteration6mConclusion - Nested Iteration1m

10 readings

Syllabus10mHelp Us Learn More About You!10mSyllabus10mIntroduction: Nested Data and Nested Iteration10mNested Dictionaries10mProcessing JSON Results10mNested Iteration10mStructuring Nested Data10mDeep and Shallow Copies10mExtracting from Nested Data10m

1 practice exercise

Optional - What Did You Use to Practice This Week?4m

Week2

Week 2

4 hours to complete

Map, Filter, and List Comprehensions

4 hours to complete

13 videos (Total 75 min), 5 readings, 3 quizzes

13 videos

Introduction - Map and Filter1mMap11mFilter8mConclusion - Map and Filter2mIntroduction - List Comprehensions1mList Comprehensions9mList Comprehensions Example 17mList Comprehensions Example 29mConclusion - List Comprehensions1mIntroduction - Zip40sZip7mThe Hangman Blanked Function13mConclusion - Zip1m

5 readings

Introduction: Map, Filter, List Comprehensions, and Zip10mMap10mFilter10mList Comprehensions10mZip10m

1 practice exercise

Optional - What Did You Use to Practice This Week?4m

Week3

Week 3

6 hours to complete

Internet APIs

6 hours to complete

21 videos (Total 118 min), 14 readings, 2 quizzes

21 videos

Introduction - REST APIs2mURLs, Domain Names, and IP Addresses5mRouting3mHTTP: Behind the Scenes5mURL Query Parameters3mREST API URLs3mThe requests Module5mConclusion - REST APIs2mIntroduction - Using REST APIs1mGenerating URLs with requests.get5mReading API Documentation: Datamuse7mDebugging Calls to requests.get5mCaching Response Content8mThe requests_with_caching Module8mConclusion - Using REST APIs1mIntroduction - Practice with REST APIs49siTunes API7mflickr API15mConclusion - Practice with REST APIs1mFun with the Google Places API19mIntroduction - Final Course Project2m

14 readings

The Internet: Behind the Scenes10mAnatomy of URLs10mThe HTTP Protocol10mUsing REST APIs10mFetching a Page10mGenerating URLs with requests.get10mFiguring Out How to Use a REST API10mDebugging Calls to requests.get10mCaching Response Content10mSearching for Media on iTunes10mSearching for tags on Flickr10mUnicode for Non-English Characters10mCourse Feedback10mKeep Learning with Michigan Online10m

Reviews

4.7

641 reviews

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TOP REVIEWS FROM DATA COLLECTION AND PROCESSING WITH PYTHON

by IADec 25, 2022

I have studied first 4 courses of this specialization and I can say that they are very good courses for all beginners. The courses don't touch into high complex topics compared

by SSAug 27, 2019

Excellent course which teaches how to process request, extract and process Internet data in a simple and step by step approach. I have gained invaluable skills how to handle large data with Python

by SSJun 7, 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.

by RKSep 17, 2020

This course gives good introduction for working with basic built in data structure (list,dictionary and their nested structures ) and introductory knowledge to work with REST api's.

View all reviews

About the Python 3 Programming Specialization

This specialization teaches the fundamentals of programming in Python 3. We will begin at the beginning, with variables, conditionals, and loops, and get to some intermediate material like keyword parameters, list comprehensions, lambda expressions, and class inheritance.

You will have lots of opportunities to practice. You will also learn ways to reason about program execution, so that it is no longer mysterious and you are able to debug programs when they don’t work. By the end of the specialization, you’ll be writing programs that query Internet APIs for data and extract useful information from them. And you’ll be able to learn to use new modules and APIs on your own by reading the documentation. That will give you a great launch toward being an independent Python programmer. This specialization is a good next step for you if you have completed Python for Everybody but want a more in-depth treatment of Python fundamentals and more practice, so that you can proceed with confidence to specializations like Applied Data Science with Python. But it is also appropriate as a first set of courses in Python if you are already familiar with some other programming language, or if you are up for the challenge of diving in head-first.

Frequently Asked Questions

When will I have access to the lectures and assignments?
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:
The course may not offer an audit option. You can try a Free Trial instead, or apply for Financial Aid.
The course may offer 'Full Course, No Certificate' instead. This option lets you see all course materials, submit required assessments, and get a final grade. This also means that you will not be able to purchase a Certificate experience.
What will I get if I subscribe to this Specialization?
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.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.

More questions? Visit the Learner Help Center.

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Data Collection and Processing with Python

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