Modern databases are at the heart of nearly every application, powering everything from small websites to enterprise systems. Understanding how to design, manage, and optimize these systems is a critical skill for developers and data professionals. In this course, you’ll start by exploring foundational database concepts, models, and architectures, including relational and NoSQL systems.
You’ll then move into ER modeling, relational schema design, and normalization techniques to ensure efficient and consistent data structures. Next, you’ll gain hands-on experience writing SQL queries using DDL, DML, joins, subqueries, and window functions. You’ll also dive into transactions, indexing, query optimization, and concurrency control to build performant and reliable systems.
By the end of the course, you’ll have the ability to model, create, and query relational and NoSQL databases confidently. You’ll understand when and how to apply different database types based on real-world use cases.
Modern databases are at the heart of nearly every application, powering everything from small websites to enterprise systems. Un...Show More
WHAT YOU'LL LEARN
An understanding of database concepts, models, and architectures, including relational and NoSQL systems
A working knowledge of ER modeling, relational schema design, and normalization techniques
Hands-on experience writing SQL queries using DDL, DML, joins, subqueries, and window functions
The ability to model, create, and query relational databases while ensuring data integrity and performance
Familiarity with core database components such as transactions, indexing, query optimization, and concurrency control
An understanding of when and how to apply different database types based on use cases and performance needs
An understanding of database concepts, models, and architectures, including relational and NoSQL systems
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Content
1.
Introduction to Databases
4 Lessons
Master essential database concepts, types, and evolution for effective data management.
2.
Database Models and Architecture
5 Lessons
Explore essential database concepts, including models, schemas, architecture, and DBMS components.
3.
Relational Model
5 Lessons
Explore relational database fundamentals, keys, integrity constraints, and Codd’s principles.
4.
Entity-Relationship Modeling
5 Lessons
Master effective database design through ER modeling, relationships, and mapping techniques.
5.
SQL Fundamentals
8 Lessons
Master SQL fundamentals, including data management, querying, and set operations for effective database handling.
6.
Relational Algebra and Relational Calculus
5 Lessons
Master relational algebra, join operations, and calculus for effective database querying.
7.
Advanced Database Concepts
6 Lessons
Master advanced SQL techniques for effective data analysis and insightful reporting.
8.
Schema Design and Normalization
6 Lessons
Master the database design process, focusing on normalization and performance optimization techniques.
9.
Transactions and Concurrency Control
6 Lessons
Master transaction management, ACID principles, and concurrency strategies for robust databases.
10.
Indexing and Query Optimization
6 Lessons
Enhance database performance through indexing, query optimization, and efficient data management techniques.
11.
NoSQL Databases Overview
5 Lessons
Explore NoSQL databases, their types, and MongoDB for efficient data management.
12.
Conclusion
1 Lessons
Recap everything covered in this course and plan your journey ahead.
Certificate of Completion
Showcase your accomplishment by sharing your certificate of completion.
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