Analyze E-Commerce Data Using PostgreSQL

Learners will apply SQL concepts, analyze real-world e-commerce datasets, and produce business-ready reports using PostgreSQL. By the end of this course, learners will be able to design relational database structures, write optimized SQL queries, perform advanced aggregations, and generate actionable insights from transactional data. This course provides a hands-on, project-driven approach to mastering PostgreSQL for data analysis. Learners begin by setting up the PostgreSQL environment and building a strong foundation in database management, table design, data types, and constraints. They then progress to querying real e-commerce datasets, applying filters, subqueries, joins, and aggregation techniques to extract meaningful information. Advanced topics such as grouping sets, cube, and rollup are introduced to support multidimensional analysis and reporting. What makes this course unique is its end-to-end focus on a practical e-commerce reporting project. Rather than learning SQL in isolation, learners apply each concept directly to business scenarios, culminating in a comprehensive reporting assignment. This course is ideal for aspiring data analysts, business intelligence professionals, and anyone seeking to strengthen their SQL skills for real-world data analysis and reporting

• Design relational database structures and write optimized SQL queries in PostgreSQL
• Analyze e-commerce data using joins, subqueries, and advanced aggregation techniques
• Generate business-ready reports and actionable insights from transactional datasets

• No deep prior experience is required but basic computer and internet skills are helpful
• Ability to read course instructions in English and complete short practice activities