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TMTM
As GlobalMart’s data ecosystem grows, analysts like Rahul are finding that simple SELECT and WHERE statements are no longer enough. The challenge lies in efficiently processing massive datasets, combining information across siloed tables, and producing increasingly complex, summarized reports under tight deadlines. Without mastering intermediate SQL concepts like complex joins and query structuring, data analysis quickly becomes slow, messy, and error-prone.
This self-paced, hands-on masterclass solves this problem by moving you from foundational SQL to Intermediate data wrangling. You will follow Rahul’s journey through interactive scenarios, learning to build robust and scalable queries using industry best practices.
Data Retrieval and Organization
Understand the SQL Order of Operations to predict how your queries execute.
Master the use of ORDER BY for effective multi-column sorting using both column names and index positions.
Explore methods for limiting result sets, including TOP N and the OFFSET FETCH clauses.
Merging and Summarizing Data
Learn how to use INNER, LEFT, RIGHT, FULL OUTER, CROSS, and SELF JOINs to combine data from multiple sources efficiently.
Grasp the power of GROUP BY with aggregate functions SUM, COUNT, AVG to generate powerful summary metrics.
Compare the purpose of the WHERE clause versus the HAVING clause for filtering rows before and after aggregation.
Advanced Query Structuring
Explore the use of a sub-query to modularize and simplify complex logic within the FROM clause.
Learn the primary benefit of using Common Table Expressions (CTEs), created with the WITH clause, to improve query readability and maintainability.
By the end, you'll understand how to integrate JOINS, GROUP BY, and CTEs—so you can quickly merge customer and order data, summarize sales performance by region, and write streamlined, complex analytical queries. Test your knowledge throughout with scenario-based questions.