Relational Database
Overview
Relational databases are a cornerstone of data management and analysis. In this module, you’ll learn how to design, create, and query relational databases using SQL (Structured Query Language). Whether you’re handling small datasets or massive amounts of data, understanding relational databases is essential for organizing, storing, and retrieving data efficiently.
Why Relational Databases?
Relational databases provide a structured and logical way to store and manage data. By using tables, relationships, and constraints, they ensure data integrity and prevent duplication. SQL is the industry-standard language for querying and managing relational databases, making it a must-have skill for data professionals.
Key Benefits:
- Structured data storage in organized tables
- Efficient querying and data retrieval using SQL
- Ability to handle large datasets with complex relationships
- Industry-wide application across various sectors
What You Will Learn
This module covers both foundational and advanced concepts in relational database design, implementation, and querying:
- Introduction to Relational Databases - Understand what a relational database is, its components, and how data is stored in tables. Learn about primary keys, foreign keys, and relationships between tables.
- SQL Basics - Learn how to write basic SQL queries for data retrieval, including SELECT, INSERT, UPDATE, and DELETE commands.
- Database Design - Understand how to design a database schema, normalize data, and avoid redundancy. Learn about normalization forms (1NF, 2NF, 3NF) and their importance.
- Querying Data with SQL - Write complex queries to join multiple tables using JOINs (INNER JOIN, LEFT JOIN, etc.). Learn to filter data with WHERE clauses, use aggregate functions, and sort results with ORDER BY.
- Managing Databases - Learn how to create, alter, and drop databases and tables. Understand constraints (e.g., NOT NULL, UNIQUE, CHECK, FOREIGN KEY) and their role in maintaining data integrity.
- Working with Multiple Tables - Explore relationships between tables, such as one-to-one, one-to-many, and many-to-many relationships.
- Indexes and Performance Optimization - Learn how to use indexes to speed up queries and optimize database performance, and understand the trade-offs between performance and storage space.
- Advanced SQL Queries - Dive into subqueries, CTEs (Common Table Expressions), window functions, and advanced data manipulation techniques.
Practical Projects
Throughout this module, you will apply your learning to real-world database scenarios, such as:
- Designing and creating a database for an e-commerce store to manage products, customers, and orders.
- Writing SQL queries to analyze sales data, customer behavior, and product performance.
- Optimizing query performance and troubleshooting database issues.
Tools and Technologies Covered
- SQL (Structured Query Language)
- MySQL
- PostgreSQL
- SQLite
Who Should Enroll?
This module is designed for students and professionals who want to develop strong foundational skills in relational database management. Whether you are looking to enter the field of data science or work with large datasets in your career, this course will help you build a solid understanding of relational databases and SQL.
Course Duration and Structure
- Duration: 3-5 weeks (self-paced)
- Format: Online with interactive exercises and projects
- Certificate: Upon completion, students will receive a "Relational Database with SQL" certification.
By the end of this module, you will be confident in designing, querying, and managing relational databases, and be ready to work with structured data in any data science or business environment.