This Advanced SQL for Data Analytics course is designed to help learners master complex SQL techniques used in real-world data analysis. Moving beyond basic queries, this course focuses on writing efficient, optimized queries to extract meaningful insights from large datasets.
You will learn how to work with advanced joins, window functions, subqueries, Common Table Expressions (CTEs), and performance tuning. The course also covers practical scenarios such as data cleaning, transformation, and reporting—making it ideal for aspiring data analysts, developers, and business intelligence professionals.
By the end of this course, you will be able to confidently analyze structured data and support data-driven decision-making using SQL.
Course Outcomes
Write complex SQL queries using advanced joins and nested subqueries
Use window functions (ROW_NUMBER, RANK, LEAD, LAG) for analytical insights
Apply Common Table Expressions (CTEs) for better query readability and performance
Perform data aggregation and advanced filtering techniques
Optimize SQL queries for better performance on large datasets
Clean and transform raw data into analysis-ready formats
Build reports and dashboards using SQL queries
Solve real-world data analysis problems efficiently