SQL Queries & Joins: Filtering, Data Retrieval & Operations

Overview

AI, Data Science & Cloud Certificates from Google, IBM & Meta — 50% Off

One plan covers every Professional Certificate on Coursera. 50% off Coursera Plus Annual for 10 days only — price increases June 17.

Unlock All Certificates

When the data you need lives across five tables and one wrong query sends you back to square one, basic SQL is not enough. This course takes you from basic filtering to full data control across querying, table management, & joining multiple data sources. Here's what you will build: • SQL Filtering & Querying Retrieve exactly the data you require using [HN1.1][DR1.2]WHERE clauses, logical operators, range operators, pattern matching with LIKE & ILIKE, and NULL checking mainly across real tables. • Data Types, Table Creation, & Constraints Build reliable tables from scratch using the right data types, ON DELETE rules, and SQL Constraints so your data holds up from day one. • Data Manipulation & Table Management Add, update, remove, & replace records confidently. Run full CRUD cycles and manage tables by making use of ALTER, DROP, and TRUNCATE across MySQL and PostgreSQL. • SQL Joins & Subqueries Connect data across multiple tables using INNER, LEFT, RIGHT, FULL OUTER, SELF, and CROSS JOINs. Work through JOIN versus Subquery with practice problems until the logic sticks. Taught in Hindi & built for anyone ready to go beyond basic queries. Trusted by 200,000+ learners across 160+ LearnKartS courses. Start now!

Syllabus

SQL Fundamentals & Database Table Operations

Learn how to filter data using SQL conditions, operators, and pattern matching techniques. You will also understand data types and create structured tables with basic constraints.

SQL Data Manipulation & Table Management Operations

Explore how to modify and manage database tables using ALTER, DROP, and TRUNCATE. Learn CRUD operations (INSERT, UPDATE, DELETE) and practice real-world data changes.

SQL Joins, Subqueries & Data Retrieval Techniques

Learn how to combine data from multiple tables using different JOIN types. Understand subqueries and practice retrieving meaningful insights from relational datasets.