Introduction to Databases and SQL for Data Analysis

Every modern data analysis pipeline and software application relies on database systems to store, organize, and retrieve information. Understanding how databases work and how to query them is an essential skill for anyone stepping into data analysis, software development, or IT. This text-only course guides you from database novice to a confident practitioner. You will learn how to read and write SQL queries, design database schemas using normalization rules, and understand the core principles of relational and non-relational database systems. What you'll learn: 1. Understand foundational database concepts, including relational algebra, tables, keys, and relationships. 2. Write clean SQL queries to filter, sort, join, and aggregate data from multiple tables. 3. Design efficient database schemas using normalization techniques to prevent data redundancy. 4. Explore transaction management, ACID properties, and database indexing for performance optimization. 5. Compare relational databases with modern NoSQL solutions and vector databases for AI applications. 6. Practice database design and querying through step-by-step written exercises and real-world scenarios. The course begins with essential terminology and the mathematical foundations of relational databases. You will then progress through practical SQL query construction, database normalization, and modern database architectures. Designed entirely for beginners, this course requires no prior programming experience or database knowledge. Start your journey into data management and unlock the power of SQL today.