Data Collection and Processing with Python (Coursera)

Data Collection and Processing with Python (Coursera)

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.

Class Deals by MOOC List - Click here and see Coursera's Active Discounts, Deals, and Promo Codes.

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.
Course 3 of 5 in the Python 3 Programming Specialization.

Syllabus

WEEK 1
Nested Data and Nested Iteration
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.

WEEK 2
Map, Filter, and List Comprehensions
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.

WEEK 3
Internet APIs
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.

Go to Class
MOOC List is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Related Courses

Audio Signal Processing for Music Applications (Coursera) Coursera
Stanford University,Universitat Pompeu Fabra

Audio Signal Processing for Music Applications (Coursera)

In this course you will learn about audio signal processing methodologies that are specific for music and of use in real applications. We focus on the spectral processing techniques of relevance for the description and transformation of sounds, developing the basic theoretical and practical knowledge with which to analyze, synthesize, transform and describe audio signals in the context of music applications.

Sep 14th 2026
5-12 Weeks
Data Management for Clinical Research (Coursera) Coursera
Vanderbilt University

Data Management for Clinical Research (Coursera)

This course presents critical concepts and practical methods to support planning, collection, storage, and dissemination of data in clinical research. Understanding and implementing solid data management principles is critical for any scientific domain. Regardless of your current (or anticipated) role in the research enterprise, a strong working knowledge and skill set in data management principles and practice will increase your productivity and improve your science. Our goal is to use these modules to help you learn and practice this skill set.

Sep 14th 2026
5-12 Weeks
An Introduction to Interactive Programming in Python (Part 2) (Coursera) Coursera
Rice University

An Introduction to Interactive Programming in Python (Part 2) (Coursera)

This two-part course is designed to help students with very little or no computing background learn the basics of building simple interactive applications. Our language of choice, Python, is an easy-to learn, high-level computer language that is used in many of the computational courses offered on Coursera. To make learning Python easy, we have developed a new browser-based programming environment that makes developing interactive applications in Python simple.

Sep 7th 2026
4 Weeks
Llama for Python Programmers (Coursera) Coursera
University of Michigan

Llama for Python Programmers (Coursera)

Llama for Python Programmers is designed for programmers who want to leverage the Llama 2 large language model (LLM) and take advantage of the generative artificial intelligence (AI) revolution. In this course, you’ll learn how open-source LLMs can run on self-hosted hardware, made possible through techniques such as quantization by using the llama.cpp package.

Sep 14th 2026
3 Weeks
Selenium WebDriver with Python (Coursera) Coursera
Whizlabs

Selenium WebDriver with Python (Coursera)

“Selenium WebDriver with Python” is a foundational course that aims to provide a comprehensive understanding of Selenium and its components. It also helps in understanding how Selenium WebDriver Operates. This course begins by demonstrating an environment setup for Selenium WebDriver with Python. A brief description of locating Web elements and web Interactions is provided in this course. This course covers an overview of testing frameworks with Selenium WebDriver. Some advanced topics such as Handling Popup, Alerts, Multiple Browser Tabs, Mouse and Keyboard interactions are also highlighted in this course.

Sep 14th 2026
3 Weeks
Python Data Structures (Coursera) Coursera
University of Michigan

Python Data Structures (Coursera)

This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.

Sep 7th 2026
5-12 Weeks
Using Databases with Python (Coursera) Coursera
University of Michigan

Using Databases with Python (Coursera)

This course will introduce students to the basics of the Structured Query Language (SQL) as well as basic database design for storing data as part of a multi-step data gathering, analysis, and processing effort. The course will use SQLite3 as its database. We will also build web crawlers and multi-step data gathering and visualization processes. We will use the D3.js library to do basic data visualization.

Sep 7th 2026
5-12 Weeks
Programming for Everybody (Getting Started with Python) (Coursera) Coursera
University of Michigan

Programming for Everybody (Getting Started with Python) (Coursera)

This course aims to teach everyone the basics of programming computers using Python. We cover the basics of how one constructs a program from a series of simple instructions in Python. The course has no pre-requisites and avoids all but the simplest mathematics. Anyone with moderate computer experience should be able to master the materials in this course.

Sep 7th 2026
5-12 Weeks
Emerging Approaches for Measuring Population Health (Coursera) Coursera
Johns Hopkins University

Emerging Approaches for Measuring Population Health (Coursera)

In this course, you will learn about traditional and emerging techniques in population-level data collection that can be used to strengthen public health programs and policies. Experts from around the world will define and explain key concepts in the design and implementation of population-based surveys, focusing on the use of emerging survey techniques such as mobile phone and web-based surveys, health services data and health information systems, and population-based health registries.

Sep 14th 2026
4 Weeks