Python APIs and Web Scraping for Data Science

Accessing external data sources is an essential skill for modern data analysts and Python developers. This text-based course guides you through the complete process of gathering data from the web, transforming unstructured web pages into clean, actionable datasets. What you'll learn: Understand core HTTP concepts, RESTful API architecture, and standard response formats; Query web endpoints using Python requests, handle authentication, and process structured JSON payloads; Extract information from HTML documents using Beautiful Soup and precise CSS selectors; Navigate pagination, handle network errors, and manage rate limits reliably; Transform raw extracted data into clean, tabular formats using Pandas; Apply ethical scraping standards and write maintainable code using modern Python typing and error handling patterns. You will begin with fundamental networking definitions and data structures before advancing through detailed written code walkthroughs and structured exercises. This course is created for beginners who know basic Python syntax and want to master data extraction from scratch. Read through the lessons to start building your own data pipelines today.