<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Subqueries, CTEs, and Views on DATATWEETS</title><link>/courses/sql/subqueries-ctes-and-views/</link><description>Recent content in Subqueries, CTEs, and Views on DATATWEETS</description><generator>Hugo</generator><language>en</language><copyright>Copyright (c) 2025 Datatweets</copyright><lastBuildDate>Tue, 23 Jun 2026 09:00:00 +0200</lastBuildDate><atom:link href="/courses/sql/subqueries-ctes-and-views/index.xml" rel="self" type="application/rss+xml"/><item><title>Lesson 1 - Scalar Subqueries</title><link>/courses/sql/subqueries-ctes-and-views/lesson-1-scalar-subqueries/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>/courses/sql/subqueries-ctes-and-views/lesson-1-scalar-subqueries/</guid><description>Learn what a subquery is, write scalar subqueries that return one value, and use them in SELECT, WHERE, and HAVING clauses to compare rows against computed benchmarks.</description></item><item><title>Lesson 2 - Multi-Row and Multi-Column Subqueries</title><link>/courses/sql/subqueries-ctes-and-views/lesson-2-multi-row-and-multi-column-subqueries/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>/courses/sql/subqueries-ctes-and-views/lesson-2-multi-row-and-multi-column-subqueries/</guid><description>Move beyond single values: write multi-row subqueries for IN and NOT IN filters, and multi-column subqueries that act as tables in the FROM clause and in joins.</description></item><item><title>Lesson 3 - Nested and Correlated Subqueries</title><link>/courses/sql/subqueries-ctes-and-views/lesson-3-nested-and-correlated-subqueries/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>/courses/sql/subqueries-ctes-and-views/lesson-3-nested-and-correlated-subqueries/</guid><description>Write correlated subqueries that reference the outer query row by row, use EXISTS and NOT EXISTS, nest subqueries several levels deep, and approach complex problems systematically.</description></item><item><title>Lesson 4 - Common Table Expressions (CTEs)</title><link>/courses/sql/subqueries-ctes-and-views/lesson-4-common-table-expressions-ctes/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>/courses/sql/subqueries-ctes-and-views/lesson-4-common-table-expressions-ctes/</guid><description>Name your subqueries with the WITH clause to write readable, reusable queries, chain multiple CTEs together, and traverse tree-structured tables with recursive CTEs.</description></item><item><title>Lesson 5 - Creating and Using Views</title><link>/courses/sql/subqueries-ctes-and-views/lesson-5-creating-and-using-views/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>/courses/sql/subqueries-ctes-and-views/lesson-5-creating-and-using-views/</guid><description>Turn a saved SELECT into a virtual table with CREATE VIEW, query views like tables, layer views on top of views, and remove them with DROP VIEW and CASCADE.</description></item><item><title>Lesson 6 - Guided Project: Customer and Product Analysis</title><link>/courses/sql/subqueries-ctes-and-views/lesson-6-guided-project-customer-and-product-analysis/</link><pubDate>Fri, 14 Nov 2025 09:00:00 +0200</pubDate><guid>/courses/sql/subqueries-ctes-and-views/lesson-6-guided-project-customer-and-product-analysis/</guid><description>Apply subqueries, CTEs, and views to a scale-model-car sales database: decide what to restock, rank your most valuable customers, and estimate how much to spend acquiring new ones.</description></item></channel></rss>