Data Collection and Processing with Python

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Data Collection and Processing with Python

This course is part of Python 3 Programming Specialization

Instructor: Paul Resnick

114,629 already enrolled

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4 modules

Gain insight into a topic and learn the fundamentals.

4,053 reviews

Intermediate level

Some related experience required

Flexible schedule

2 weeks at 10 hours a week

Learn at your own pace

97%

Most learners liked this course

4 modules

Gain insight into a topic and learn the fundamentals.

4,053 reviews

Intermediate level

Some related experience required

Flexible schedule

2 weeks at 10 hours a week

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

Tools you'll learn

Details to know

Shareable certificate

Add to your LinkedIn profile

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
Develop job-relevant skills with hands-on projects
Earn a shareable career certificate

There are 4 modules in this 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.

What's included

5 videos3 readings1 ungraded lab

5 videosTotal 41 minutes

Introduction to the Specialization11 minutes
What’s New? Updates and Improvements in the Second Edition2 minutes
Welcome to Python Data Collection and Processing with Python2 minutes
(Optional) How to Use the Interactive Textbook14 minutes
Executing Python in the Jupyter Environment11 minutes

3 readingsTotal 30 minutes

Syllabus10 minutes
A note to learners who have not taken the updated course 2 - Functions, Files and Dictionaries10 minutes
Help Us Learn More About You!10 minutes

1 ungraded labTotal 60 minutes

(Optional) Getting Started with Jupyter Notebooks60 minutes

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

13 videosTotal 102 minutes

Introduction - Nested Data1 minute
Nested Lists17 minutes
Nested Dictionaries7 minutes
JSON Format and the JSON Module7 minutes
Conclusion - Nested Data2 minutes
Introduction - Nested Iteration2 minutes
Nested Iteration19 minutes
Structuring Nested Data6 minutes
Shallow Copies7 minutes
Deep Copies10 minutes
Extracting from Nested Data14 minutes
A Worked Example of Nested Iteration7 minutes
Conclusion: Nested Data and Nested Iteration2 minutes

1 assignmentTotal 4 minutes

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

1 programming assignmentTotal 60 minutes

Assessment - Nested Data and Nested Iteration60 minutes

8 app itemsTotal 75 minutes

Use the Runestone Practice Tool5 minutes
Introduction: Nested Data and Nested Iteration10 minutes
Nested Dictionaries10 minutes
Processing JSON Results10 minutes
Nested Iteration10 minutes
Structuring Nested Data10 minutes
Deep and Shallow Copies10 minutes
Extracting from Nested Data10 minutes

1 ungraded labTotal 60 minutes

(Optional) JavaScript Object Notation (JSON)60 minutes

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

13 videosTotal 78 minutes

Introduction - Map and Filter1 minute
Map14 minutes
Filter8 minutes
Conclusion - Map and Filter3 minutes
Introduction - List Comprehensions1 minute
List Comprehensions9 minutes
List Comprehensions Example 17 minutes
List Comprehensions Example 210 minutes
Conclusion - List Comprehensions1 minute
Introduction - Zip1 minute
Zip8 minutes
An Example Using Zip13 minutes
Conclusion - Zip1 minute

1 assignmentTotal 4 minutes

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

1 programming assignmentTotal 60 minutes

Assessment - More on Accumulation60 minutes

6 app itemsTotal 55 minutes

Use the Runestone Practice Tool5 minutes
Introduction: Map, Filter, List Comprehensions, and Zip10 minutes
Map10 minutes
Filter10 minutes
List Comprehensions10 minutes
Zip10 minutes

3 ungraded labsTotal 180 minutes

(Optional) Map and Filter60 minutes
An Example Using Zip60 minutes
(Optional) Review and List Comprehensions Warmup60 minutes

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

25 videosTotal 132 minutes

Introduction - REST APIs2 minutes
URLs, Domain Names, and IP Addresses5 minutes
Routing4 minutes
HTTP: Behind the Scenes6 minutes
URL Query Parameters3 minutes
REST API URLs3 minutes
The requests Module6 minutes
Generating URLs with requests.get6 minutes
Conclusion - REST APIs2 minutes
Introduction - Using REST APIs1 minute
Reading API Documentation: Datamuse8 minutes
Debugging Calls to requests.get6 minutes
Caching Response Content8 minutes
The requests_with_caching Module9 minutes
Conclusion - Using REST APIs2 minutes
Introduction - Practice with REST APIs1 minute
iTunes API8 minutes
flickr API15 minutes
Conclusion - Practice with REST APIs1 minute
Fun with the Google Places API20 minutes
Running Python in Hosted Systems2 minutes
Creating Your Own API - Part 12 minutes
Creating Your Own API - Part 25 minutes
Creating Your Own API - Part 35 minutes
Introduction - Final Course Project2 minutes

2 readingsTotal 20 minutes

Course Feedback10 minutes
Keep Learning with Michigan Online10 minutes

1 programming assignmentTotal 60 minutes

Project - OMDB and Dad Joke Mashup60 minutes

12 app itemsTotal 115 minutes

Use the Runestone Practice Tool5 minutes
The Internet: Behind the Scenes10 minutes
Anatomy of URLs10 minutes
The HTTP Protocol10 minutes
Using REST APIs10 minutes
Fetching a Page10 minutes
Figuring Out How to Use a REST API10 minutes
Debugging Calls to requests.get10 minutes
Caching Response Content10 minutes
Searching for Media on iTunes10 minutes
Searching for tags on Flickr10 minutes
Unicode for Non-English Characters10 minutes

2 ungraded labsTotal 120 minutes

(Optional) REST APIs60 minutes
(Optional) Request Data with Cache60 minutes

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Instructor

Instructor ratings

(515 ratings)

Paul Resnick

University of Michigan

13 Courses603,295 learners

Offered by

University of Michigan

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Showing 3 of 4053

Reviewed on Oct 14, 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.

Reviewed on Aug 30, 2023

I'm pleased to have gone through this remarkable course and gained valuable insights. I consider myself lucky to have finished this exceptional course and expanded my knowledge.

Reviewed on Feb 4, 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.

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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.

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