SQL Fundamentals
(Database Programming & Tools)

Learn the essentials of relational databases in our SQL Fundamentals course. From creating and managing databases to writing powerful queries in MySQL, you’ll gain practical, hands-on experience. By the end, you’ll be confident in handling tables, working with data, and writing efficient SQL queries for real-world applications.

(Duration: 30-40 hours)

Course Modules

1. Introduction to Databases

  • Understanding the concept of data and information
  • Role of databases in applications and enterprises
  • Types of databases: Relational vs Non-relational
  • Core components: Tables, Records, Fields, Keys
  • Introduction to RDBMS (Relational Database Management Systems)
  • Real-world examples of database usage in industries

2. Managing Databases & Tables

  • Creating a new database in MySQL
  • Understanding database schemas
  • Creating, modifying, and deleting tables
  • Setting primary keys, foreign keys, and constraints
  • Understanding data types and choosing the right one for each column
  • Dropping and altering database objects safely

3. Querying Table Data

  • Introduction to SQL syntax and structure
  • Using SELECT to retrieve data
  • Applying filters with WHERE and logical operators
  • Sorting results with ORDER BY
  • Using aggregate functions (COUNT, SUM, AVG, MIN, MAX)
  • Grouping data with GROUP BY and filtering with HAVING
  • Combining results with JOIN (INNER, LEFT, RIGHT, FULL)

4. Exporting & Importing Data

  • Understanding data portability in MySQL
  • Importing data from CSV, SQL dump files, and other formats
  • Exporting tables and query results for reporting
  • Bulk data insertion and deletion best practices
  • Handling data encoding and format compatibility
  • Backup and restore techniques for databases

Capstone Project

  • Title: End-to-End Database Design & Management
  • Objective: Build a functional database to address a real-world problem.
  • Tasks:
    • Design database schema with related tables
    • Insert realistic sample data
    • Write complex SQL queries (joins, grouping, aggregation)
    • Perform data import/export and backup/restore
    • Document and present the project
  • Evaluation: Based on design, query accuracy, efficiency, and presentation