SQL (STRUCTURED QUERY LANGUAGE)

Designed for beginners, this course breaks down complex concepts into simple, hands-on lessons. No prior coding experience required! By the end of this course, you'll be able to write SQL queries confidently and understand how data is stored, accessed, and manipulated in real-world systems — a valuable skill whether you're a developer, analyst, marketer, or entrepreneur. You’ll learn how to:

  • Create and manage database structures
  • Retrieve and filter data with queries
  • Perform complex data operations using JOINs, subqueries, and aggregate functions
  • Modify data with INSERT, UPDATE, and DELETE commands

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What you will learn in our SQL COURSE

Module 1: Introduction to Databases & SQLWhat is a database?

  • Relational vs. non-relational databases
  • What is SQL and why is it important
  • Overview of DBMS (MySQL, PostgreSQL, SQLite, etc.)
  • Setting up your environment (e.g., SQLite, pgAdmin, or MySQL Workbench)

Module 2: Basic SQL Queries SELECT statements

  • Filtering results with WHERE
  • Using logical operators (AND, OR, NOT)
  • Sorting with ORDER BY
  • Limiting results with LIMIT / TOP

Module 3: Working with Data

  • Inserting data: INSERT INTO
  • Updating data: UPDATE
  • Deleting data: DELETE
  • Data types and constraints (e.g., NOT NULL, DEFAULT, UNIQUE)

Module 4: Filtering, Functions & Expressions

  • Comparison operators (=, <, >, BETWEEN, IN, LIKE)
  • Aggregate functions: COUNT(), SUM(), AVG(), MIN(), MAX()
  • GROUP BY and HAVING
  • Aliasing with AS
  • String and date functions

Module 5: Working with Multiple Tables

  • Introduction to database relationships (1:1, 1:N, M:N)
  • Understanding primary keys and foreign keys
  • INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN
  • CROSS JOIN and SELF JOIN
  • Using JOINs in practice

Module 6: Subqueries and Nested Queries

  • Subqueries in SELECT, FROM, and WHERE
  • Correlated vs. non-correlated subqueries
  • Common Table Expressions (CTEs)

Module 7: Data Modeling and Schema Design

  • Normalization (1NF, 2NF, 3NF)
  • Designing tables and relationships
  • Creating tables and constraints
  • ALTER and DROP statements

Module 8: Advanced SQL Concepts

  • Window functions: RANK(), ROW_NUMBER(), LEAD(), LAG()
  • Case statements and conditional logic Transactions and ACID properties
  • Indexing basics and performance tips

Module 9: SQL for Data Analysis (Optional for Analytics Track)

  • Real-world analytics use cases
    Time series analysis
  • Creating dashboards using SQL queries (optional integration with tools like Excel or Tableau)
  • Writing efficient queries for reporting

Module 10: Capstone Project

  • Design a small database (e.g., for an e-commerce store or HR system)
  • Populate it with sample data
  • Write queries to solve real-world tasks (sales reports, user engagement, inventory levels)
  • Peer or instructor review (for formal courses)