SQL for Data Integration

Kickstart your data journey by mastering the fundamentals of SQL. This introductory lesson covers the core concepts of relational databases, how data is structured, and the essential syntax needed to retrieve, filter, and organize information. By the end of this session, you’ll understand how databases work behind the scenes and be ready to write your very first database queries.

Learn how to actively manage and modify data within your databases. This lesson covers the essential Data Manipulation Language (DML) and Data Definition Language (DDL) commands needed to add new records (INSERT), modify existing data (UPDATE), and restructure table schemas (ALTER). By the end of this session, you'll be able to confidently keep your database accurate, up-to-date, and aligned with changing data requirements.

Discover how tables connect and interact within a relational database. This lesson introduces the concept of foreign keys, explaining how they establish links between tables and enforce data integrity across your database. By the end of this session, you'll understand how to build meaningful relationships between datasets and ensure your data remains accurate, consistent, and connected.

Transform raw data into actionable insights. This lesson focuses on advanced data retrieval techniques and analysis using SQL. You will learn how to write complex queries, use aggregate functions to summarize datasets, and apply filtering and grouping to extract meaningful trends. By the end of this session, you’ll be able to confidently analyze database information to answer critical business questions.

Master the tools needed to aggregate, clean, and combine your data. This lesson covers how to group related rows to calculate summaries (GROUP BY), remove unnecessary or incorrect data safely (DELETE), and merge information from multiple tables using relationships (JOINS). By the end of this session, you'll be able to structure complex datasets for deeper analysis and maintain a clean database environment.

Learn how to seamlessly move data into and out of your SQL databases. This lesson covers the essential techniques for importing external datasets (like CSV or text files) into your database tables and exporting your query results for reporting, integration, or analysis in other applications. By the end of this session, you’ll be able to confidently handle data transfers and bridge the gap between SQL and external data tools.