Overview

SQL (Structured Query Language) is a standard programming language used to manage and manipulate databases. It allows users to store, retrieve, update, and delete data within a relational database management system (RDBMS) like MySQL, PostgreSQL, Microsoft SQL Server, or Oracle.What SQL Is Used For:Querying data (e.g., finding specific records)Inserting new data into a databaseUpdating existing dataDeleting dataCreating and modifying tables and databasesManaging database permissionsBasic SQL Commands:SELECT: Retrieve data from a tableINSERT INTO: Add new dataUPDATE: Modify existing dataDELETE: Remove dataCREATE TABLE: Define a new tableDROP TABLE: Delete a tableWhy SQL Matters:SQL is essential for:Data analysis and reportingBack-end web developmentBusiness intelligenceAny job that involves working with structured dataThis course provides a comprehensive introduction to Structured Query Language (SQL), the industry-standard language for managing and querying relational databases. Designed for beginners and professionals alike, the course teaches how to create, manage, and manipulate data using SQL in real-world scenarios.Students will learn to write efficient SQL queries, retrieve meaningful insights from data, and perform complex operations such as filtering, grouping, joining tables, and using subqueries. The course also covers database design principles, normalization, and best practices for working with large datasets.Hands-on exercises and projects using platforms like MySQL, PostgreSQL, or SQLite will reinforce theoretical knowledge and build practical skills relevant for careers in data analysis, software development, and business intelligence.Key Topics:Introduction to databases and relational modelsSQL syntax and data typesSELECT queries and filtering resultsAggregation, grouping, and sortingJOINS and subqueriesCreating and modifying tablesData import/export and managementBasic database design and normalizationCourse Length: 4-10 weeks (self-paced or instructor-led)Prerequisites: Basic computer literacy; no prior programming experience requiredTarget Audience: Aspiring data analysts, software developers, IT professionals, business analysts

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