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Data Pipelines and Data Engineering

A course by
May, 2025 9 lessons English

In this module, we will explore how to build efficient data pipelines for integrating, transforming, and managing data from various sources. We will cover the fundamentals of RESTful APIs, HTTP protocols, and data extraction techniques. We will learn how to retrieve data from web services, understand the ETL (Extract, Transform, Load) process, and apply web scraping methods. These skills will help us automate data workflows and streamline data processing for analysis and decision-making.

What You'll Learn

  • Understand the components and processes involved in data pipelines, including the ETL (Extract, Transform, Load) stages.
  • Apply techniques to extract data from websites using Python and web scraping methods.
  • Discuss the principles and architecture behind RESTful services and APIs.
  • Use the requests library to send HTTP requests and interact with RESTful APIs.

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