Coursera ChatGPT Adobe Firefly Lovable AI Automation

Data Collection and Processing with Python

By Paul Resnick Posted: Jul 30, 2026

Course Details

Pricing Free
Offered By University Of Michigan
Difficulty Beginner
Duration Flexible Schedule (Approximately 15 Hours)
Language English
Certificate Available

Course Curriculum & Description

Learn how to collect, clean, process, and analyze data using Python in this intermediate-level course from the University of Michigan. As part of the Python for Everybody Specialization, this course teaches practical techniques for working with real-world data from APIs, JSON, XML, and web services.

You'll gain experience using Python to manipulate nested data structures, process text files, extract information from web APIs, and automate data workflows. Through hands-on programming exercises, you'll develop the skills required for data science, AI development, machine learning, and software engineering.

Whether you're preparing for a career in AI, data analytics, or software development, this course provides essential Python data processing skills.


Course Modules

Module 1 – Introduction

  1. Course Overview
  2. Data Collection Basics
  3. Python Review

Module 2 – Nested Data and Nested Iteration

  1. Nested Lists
  2. Nested Dictionaries
  3. Iteration Techniques
  4. Complex Data Structures

Module 3 – Map, Filter, and List Comprehensions

  1. Functional Programming
  2. List Comprehensions
  3. Dictionary Comprehensions
  4. Efficient Data Processing

Module 4 – Internet APIs

  1. Working with REST APIs
  2. JSON Parsing
  3. XML Parsing
  4. Fetching Remote Data
  5. API Authentication Basics


What You Will Learn

  • Access remote data using APIs
  • Read and write JSON objects
  • Parse XML documents
  • Manipulate nested data structures
  • Build reusable Python scripts
  • Extract useful information from web data
  • Automate data collection tasks
  • Process large datasets efficiently
  • Apply Python to real-world data problems
  • Build a foundation for AI and machine learning

Course Prerequisites

Basic Python programming knowledge
Familiarity with variables, loops, and functions
Internet access
Python installed on your computer
Basic command-line experience (recommended)

Course Highlights

Official University of Michigan Course
Part of Python for Everybody Specialization
Hands-on Python Coding
Real API Projects
JSON & XML Processing
Web Data Collection
Intermediate Level
Practical Programming Exercises
Flexible Online Learning
Shareable Certificate

Tagged Topics & Skills

Categories:
Skills Mapped:
Python Automation Data Collection Data Processing JSON XML Web APIs Nested Data Structures List Comprehensions Dictionary Comprehensions Data Cleaning Internet APIs File Processing Python Programming Data Wrangling

Ready to Start Learning?

Enroll directly on the official Coursera website to begin your lessons.

Open Course Website

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