Program W4 – Database Fundamentals - Master SQL and NoSQL database design, optimization, and management

ADVANCEDweb

4.7(39 reviews)

ADVANCEDweb

Program W4 – Database Fundamentals

Name: Program W4 – Database Fundamentals
Rating: 4.7 (39 reviews)

Master SQL and NoSQL database design, optimization, and management

4.7(39 reviews)

Duration

24 lessons

Class Size

Max 8 students

Learning Mode

hybrid

6 modules•24 topics•24 lessons•24 total hours

About This Course

This program covers comprehensive database concepts including relational and NoSQL databases, with practical applications in security, cloud deployment, and real-world scenarios.

Key Learning Outcomes

Database Design
Design relational and NoSQL databases
SQL Fundamentals
Learn SQL syntax and query optimization

Course Modules

Course Curriculum

A comprehensive learning path structured in modules

6 modules

24 total topics

24 lessons

1
Database Fundamentals & SQL Basics

Understanding database types, history, and essential SQL commands

4 lessons

Collapse module

1.1Database 101

Exploring database concepts, history, and the differences between SQL and NoSQL

1.2SQL Commands & CRUD

Learning basic SQL syntax for creating, reading, updating, and deleting data

1.3SELECT Statements & Filtering

Mastering data retrieval with WHERE, ORDER BY, and LIMIT clauses

1.4JOINs & Table Relationships

Combining data from multiple tables using various JOIN operations

2
Advanced SQL Techniques

Mastering complex queries, aggregations, and optimization methods

4 lessons

Expand module

2.1Aggregations & GROUP BY

Analyzing data with COUNT, SUM, AVG and grouping results

2.2Subqueries & Nested Queries

Building complex queries with subqueries and Common Table Expressions (CTEs)

2.3Schema Definition & Constraints

Implementing PRIMARY KEYs, FOREIGN KEYs, and other data integrity constraints

2.4Indexing & Optimization

Creating indexes and optimizing queries for better performance

3
Database Design & Normalization

Creating well-structured database schemas with proper normalization

4 lessons

Expand module

3.1ER Diagrams & Data Modeling

Creating entity-relationship diagrams to visualize database structure

3.2Normalization Principles

Applying 1NF, 2NF, 3NF, and BCNF principles to eliminate redundancy

3.3Advanced Schema Design

Balancing normalization with performance through strategic denormalization

3.4Transactions & Concurrency

Managing concurrent operations with ACID-compliant transactions

4
NoSQL Databases & Integration

Exploring document stores, key-value pairs, and graph databases

4 lessons

Expand module

4.1NoSQL Database Types

Understanding document, key-value, columnar, and graph database models

4.2MongoDB & Document Storage

Working with JSON-like documents and collections in MongoDB

4.3Redis & Key-Value Patterns

Implementing fast data access patterns with Redis

4.4Graph Databases with Neo4j

Modeling connected data and relationships with graph databases

5
Advanced Management & Security

Implementing database security, monitoring, and cloud deployment

4 lessons

Expand module

5.1User Management & Permissions

Creating users, roles, and implementing principle of least privilege

5.2Monitoring & Performance

Setting up alerts, logging, and performance benchmarking

5.3Cloud Databases

Deploying and managing databases in cloud environments

5.4Security Best Practices

Implementing encryption, auditing, and security protocols

6
Capstone Project

Applying database concepts to design and build a complete solution

4 lessons

Expand module

6.1Project Planning

Defining requirements and designing the database architecture

6.2Database Implementation

Creating schema, loading data, and implementing business logic

6.3Testing & Documentation

Verifying functionality and creating comprehensive documentation

6.4Final Presentation

Presenting the complete database solution and its features

Key Benefits

Database management skills

Students will learn to manage databases effectively

Query optimization

Students will learn to optimize database queries

Database architecture

Students will understand database architecture principles

Course Details

Information about this course

Duration

24 lessons

Session Length

1 hour

Learning Mode

HYBRID

Age Group

13 years old and above

Course Details

Information about this course

Duration

24 lessons over 6 months

Session Length

1 hour per session

Course Content

6 modules, 24 topics, 24 lessons

Total Hours

24 hours of instruction

Meeting Frequency

Weekly mentor check-ins via Zoom

Class Size

1:8

Age Group

13 years old and above

Program W4 – Database Fundamentals

About This Course

Key Learning Outcomes

Course Modules

Course Curriculum

1Database Fundamentals & SQL Basics

1.1Database 101

1.2SQL Commands & CRUD

1.3SELECT Statements & Filtering

1.4JOINs & Table Relationships

2Advanced SQL Techniques

2.1Aggregations & GROUP BY

2.2Subqueries & Nested Queries

2.3Schema Definition & Constraints

2.4Indexing & Optimization

3Database Design & Normalization

3.1ER Diagrams & Data Modeling

3.2Normalization Principles

3.3Advanced Schema Design

3.4Transactions & Concurrency

4NoSQL Databases & Integration

4.1NoSQL Database Types

4.2MongoDB & Document Storage

4.3Redis & Key-Value Patterns

4.4Graph Databases with Neo4j

5Advanced Management & Security

5.1User Management & Permissions

5.2Monitoring & Performance

5.3Cloud Databases

5.4Security Best Practices

6Capstone Project

6.1Project Planning

6.2Database Implementation

6.3Testing & Documentation

6.4Final Presentation

Key Benefits

Database management skills

Query optimization

Database architecture

Course Details

Course Details

Course Curriculum

1Database Fundamentals & SQL Basics

1.1Database 101

1.2SQL Commands & CRUD

1.3SELECT Statements & Filtering

1.4JOINs & Table Relationships

2Advanced SQL Techniques

2.1Aggregations & GROUP BY

2.2Subqueries & Nested Queries

2.3Schema Definition & Constraints

2.4Indexing & Optimization

3Database Design & Normalization

3.1ER Diagrams & Data Modeling

3.2Normalization Principles

3.3Advanced Schema Design

3.4Transactions & Concurrency

4NoSQL Databases & Integration

4.1NoSQL Database Types

4.2MongoDB & Document Storage

4.3Redis & Key-Value Patterns

4.4Graph Databases with Neo4j

5Advanced Management & Security

5.1User Management & Permissions

5.2Monitoring & Performance

5.3Cloud Databases

5.4Security Best Practices

6Capstone Project

6.1Project Planning

6.2Database Implementation

6.3Testing & Documentation

6.4Final Presentation

1
Database Fundamentals & SQL Basics

2
Advanced SQL Techniques

3
Database Design & Normalization

4
NoSQL Databases & Integration

5
Advanced Management & Security

6
Capstone Project

1
Database Fundamentals & SQL Basics

2
Advanced SQL Techniques

3
Database Design & Normalization

4
NoSQL Databases & Integration

5
Advanced Management & Security

6
Capstone Project