Database Design and Data Processing with Python and SQLite

Modern applications rely on data, but managing that data efficiently requires more than just flat files. Learning how to connect Python to relational databases opens up powerful possibilities for automated data collection, storage, and analysis. In this beginner-friendly written course, you will transition from writing basic scripts to building data-driven Python applications. You will learn the fundamentals of database design, write clean SQL queries, and implement multi-step data gathering pipelines. By reading through practical explanations and analyzing code examples, you will gain the confidence to manage databases programmatically. What you'll learn: - Understand the foundational principles of relational databases and database design. - Write SQL queries to create tables, insert records, and retrieve data using SQLite. - Develop Python scripts to automate data collection using basic web scraping techniques. - Apply modern Python practices, including virtual environments, type hints, and secure database connections. - Process and structure gathered data to prepare it for external visualization tools. The course begins with essential database concepts and SQL syntax before moving into hands-on Python integration. You will then progress to gathering data from the web and organizing it systematically in your database for further analysis. This course is designed for beginner Python developers, aspiring data analysts, and software enthusiasts who want to learn database management from scratch. No prior database experience is required. Start building reliable data pipelines with Python and SQL today.