Relational Database Design and Data Fundamentals

Understanding how data is structured, stored, and analyzed is a critical skill in the modern digital economy. This course provides a clear pathway for anyone looking to move beyond simple spreadsheets and into the world of professional data architecture. You will start by exploring the fundamental nature of data, learning to distinguish between business intelligence, data science, and analytics. From there, you will progress to the principles of relational database design, focusing on how to organize information to prevent errors and maximize efficiency. You will also gain a foundational understanding of how to interact with these systems using standard query language. What you'll learn: - Understand the core properties of data and the differences between various data types. - Apply normalization rules to create efficient, scalable relational database schemas. - Write SQL statements to define database structures and manipulate data records. - Differentiate between business intelligence and analytics to drive informed decision-making. - Perform descriptive statistical analysis to summarize and interpret complex data sets. - Explore modern data trends, including the relationship between relational systems and non-relational alternatives. The material begins with essential terminology and conceptual frameworks before moving into the technical logic of schema design and data manipulation through written exercises. This course is designed for absolute beginners with no prior technical background in databases or statistics. Begin your journey into the world of data modeling and database management today.