What you will learn in Using Python to Access Web Data Course
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Use regular expressions to extract data from strings.
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Understand the protocols web browsers use to retrieve documents and web apps.
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Retrieve data from websites and APIs using Python.
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Work with XML (eXtensible Markup Language) data.
Program Overview
Module 1: Getting Started
⏳ 3 hours
- Install Python and a text editor. Transition from the browser-based Python environment to a local setup to handle more complex programs.
Module 2: Regular Expressions (Chapter 11)
⏳ 3 hours
- Learn to use regular expressions to search and extract data from strings efficiently.
Module 3: Networks and Sockets (Chapter 12)
⏳ 3 hours
- Understand how web browsers retrieve documents and how applications interact with APIs using network protocols.
Module 4: Programs that Surf the Web (Chapter 12)
⏳ 3 hours
- Use Python to retrieve data from websites and APIs over the Internet.
Module 5: Web Services and XML (Chapter 13)
⏳ 3 hours
- Retrieve and parse XML (eXtensible Markup Language) data.
Module 6: JSON and the REST Architecture (Chapter 13)
⏳ 3 hours
- Work with Application Program Interfaces / Web Services using the JavaScript Object Notation (JSON) data format.
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Job Outlook
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Completing this course prepares you for roles such as Data Analyst, Web Developer, or Python Developer.
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The skills acquired are applicable across various industries that utilize web data extraction and analysis.
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Enhance your employability by gaining practical experience in web scraping and data parsing using Python.
Explore More Learning Paths
Enhance your Python programming and data handling skills with these carefully curated programs designed to help you extract, analyze, and visualize web-based data efficiently.
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Python Functions, Files, and Dictionaries Course – Gain essential Python skills for managing data structures, working with files, and building functional scripts.
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Related Reading
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What Is Python Used For? – Explore how Python is widely used in data analysis, web scraping, automation, and machine learning, highlighting its versatility for accessing and processing web data.
