Python and SQL Scripting for Data Engineering

Modern data engineering relies on the powerful combination of Python scripting and SQL to move, transform, and manage data efficiently. Understanding how these two technologies interact is the foundation for building reliable data pipelines. This course guides you through the essential concepts of writing clean Python scripts and structured SQL queries to interact with databases. You will transition from writing basic commands to developing automated workflows that extract data from the web, load it into databases, and prepare it for analysis. What you'll learn: - Understand foundational data engineering concepts, database structures, and SQL syntax. - Write clean Python scripts utilizing modern type hints and virtual environments for project isolation. - Connect Python applications to SQL databases to read, write, and update data programmatically. - Extract structured data from websites using modern Python web scraping techniques. - Build basic ETL (Extract, Transform, Load) pipelines to automate data movement. - Apply secure practices for managing database credentials and environment variables. You will start with the fundamental terminology of databases and scripting before moving on to hands-on written exercises that combine Python and SQL. The material progresses logically from basic queries to automated data extraction and pipeline construction. This course is designed for beginners who want to enter the field of data engineering; no prior scripting or database experience is required. Start reading today to build your foundational data engineering skill set.