Database Design – godigitalsphere.com

Database Design

Lorem ipsum dolor sit amet, consectetur adipisicing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laborist.

Start Date:

05/04/2025

Duration:

32Month

Difficulty

Intermediate

Overview

This Database Design course teaches you how to structure and organize data efficiently using industry-standard design principles and tools. You’ll learn how to model real-world information into relational systems, build reliable databases, write essential SQL, and optimize designs for performance and integrity. Upon completion, you’ll be able to design high-quality databases for applications, websites, and software systems.

You’ll Learn

Module 1: Core database concepts and architecture

Module 2: Entity-Relationship (ER) modeling

Module 3: Relational design and normalization

Module 4: SQL basics for data definition and manipulation

Module 5: Data integrity, constraints, and keys

Module 6: Optimization, security, and maintenance fundamentals

Module 7: Real-world database projects and best practices

Course Structure

Module 1: Introduction to Databases

What is a database and why it’s essential
Database Management Systems (DBMS) overview
Types of databases (Relational, NoSQL, hierarchical, etc.)
Role of databases in applications and business systems

Module 2: Entity-Relationship (ER) Modeling

Understanding entities, attributes & relationships
Drawing and interpreting ER diagrams
Mapping ER models to relational schemas
Identifying strong vs. weak entities and cardinalities

Module 3: Relational Database Design

Relational data model foundations
Keys (Primary, Foreign, Candidate) & integrity constraints
Functional dependencies & data redundancy
Relational schema creation and design rules

Module 4: Normalization Techniques

Purpose of normalization in database design
First Normal Form (1NF), Second (2NF), Third (3NF)
Eliminating redundancy and design anomalies
Applying normalization to real datasets

Module 5: SQL Fundamentals

Introduction to Structured Query Language (SQL)
Creating tables and defining data types
INSERT, UPDATE, DELETE, and SELECT operations
Filtering, sorting, and joining tables

Module 6: Data Integrity & Constraints

Setting up primary and foreign keys
Unique and check constraints
Referential integrity and cascading rules
Data validation strategies

Module 7: Performance & Optimization Basics

Indexing for faster data retrieval
Query performance considerations
Best practices in schema design
Tools for monitoring and tuning queries

Module 8: Database Security & Maintenance

Database access control and roles
Backup and recovery strategies
Protecting data against unauthorized access
Routine maintenance tasks and tools

Instructor

Kathleen Grant (Demo)

This course is aimed at complete beginners who have never programmed before, as well as existing programmers who want to increase their career options by learning Python. The fact is, Python is one of the most popular programming languages in the world – Huge companies like Google use it in mission critical applications like Google Search. And Python is the number one language choice for machine learning, data science and artificial intelligence. To get those high paying jobs you need an expert knowledge of Python, and that’s what you will get from this course. By the end of the course you’ll be able to apply in confidence for Python programming jobs. And yes, this applies even if you have never programmed before. With the right skills which you will learn in this course, you can become employable and valuable in the eyes of future employers.