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Mastering Databases: SQL & NoSQL Course 2025

Last Update:

August 12, 2025

Review:

4.4

Course Overview

This in-depth Databases: SQL & NoSQL course is tailored for developers, data engineers, and IT professionals seeking to master modern database technologies. You will learn relational database management systems (RDBMS) such as MySQL and PostgreSQL, including schema design, normalization, indexing, stored procedures, and query optimization. The course also dives into NoSQL databases like MongoDB and Redis, covering document-based data models, key-value storage, sharding, replication, and high-performance data handling. Through practical projects, you'll gain real-world experience in designing, managing, and integrating databases into web applications, enterprise software, and big data architectures.

SQL Training, NoSQL Development, Database Management Systems, Data Engineering, MongoDB, MySQL, PostgreSQL

Who Should Enroll?

  • Students and beginners aiming to build strong database foundations
  • Backend developers integrating SQL & NoSQL databases into applications
  • Data analysts, data scientists, and engineers working with structured & unstructured data
  • IT professionals preparing for cloud database and big data projects

Week 1: Database Basics

  • Introduction to data, databases, and DBMS
  • Relational vs non-relational databases
  • Understanding SQL & NoSQL ecosystems
  • Overview of MySQL, PostgreSQL, MongoDB, Redis
  • Setting up local & cloud database environments

Week 2: SQL Essentials

  • Database creation & table structures
  • Data types & constraints
  • INSERT, SELECT, UPDATE, DELETE operations
  • Filtering with WHERE, operators, and conditions
  • ORDER BY, LIMIT, and basic aggregation

Week 3: Advanced SQL Queries

  • Joins: INNER, LEFT, RIGHT, FULL
  • GROUP BY & HAVING clauses
  • Subqueries & nested SELECT statements
  • Working with NULL and conditional expressions
  • Case studies on query optimization

Week 4: Database Design Fundamentals

  • Entity-Relationship (ER) modeling
  • Primary keys, foreign keys, and relationships
  • Normalization (1NF, 2NF, 3NF)
  • Practical schema design for a real-world app
  • Hands-on mini project: Blog database

Week 5: Stored Procedures & Functions

  • Creating and executing stored procedures
  • User-defined functions (UDFs)
  • Advantages and industry use cases
  • Error handling in SQL

Week 6: Indexing & Query Optimization

  • Understanding indexes and their types
  • EXPLAIN and query analysis tools
  • Best practices for index usage
  • Reducing query execution time

Week 7: Transactions & Concurrency

  • ACID properties explained
  • COMMIT, ROLLBACK, and SAVEPOINT
  • Isolation levels and locking mechanisms
  • Deadlocks and prevention techniques

Week 8: Data Security & Backup Strategies

  • User roles and privileges
  • SQL injection prevention
  • Database encryption
  • Backup and restore strategies
  • Disaster recovery planning

Week 9: NoSQL Fundamentals

  • Types of NoSQL databases: Document, Key-Value, Column, Graph
  • When to use NoSQL vs SQL
  • Introduction to MongoDB & Redis
  • Basic CRUD in MongoDB

Week 10: Advanced MongoDB

  • Aggregation pipelines
  • Indexes in MongoDB
  • Data modeling in NoSQL
  • Sharding and replication

Week 11: Redis & High-Performance Data Caching

  • Key-value store concepts
  • In-memory caching strategies
  • Persistence in Redis
  • Redis for real-time analytics

Week 12: Integrating SQL & NoSQL

  • Polyglot persistence
  • Hybrid database architectures
  • Case studies: E-commerce & IoT
  • ETL processes & data pipelines

Week 13: Cloud Databases

  • Hosting databases on AWS RDS & MongoDB Atlas
  • Cloud backups & scaling
  • Security best practices in the cloud

Week 14: Database for Microservices

  • Database per service pattern
  • API integration with databases
  • Event-driven database design

Week 15: Capstone Project Development

  • Requirement gathering & schema planning
  • Building the database layer for an industry-grade app
  • Performance tuning and testing

Week 16: Project Presentation & Review

  • Deploying the final project
  • Code & query review
  • Industry interview preparation for database roles
  • Final feedback & certification

Reviews

This course gave me a solid understanding of databases. The topics were explained simply, from basic concepts to advanced queries, and the practical exercises helped me work confidently with SQL and database management systems.

4.4

25 Ratings

Detailed Rating
5 stars
80%
4 stars
15%
3 stars
5%
2 stars
0%
1 star
0%

2 Comments

  • Komathi

    July 1, 2025

    Excellent Databases course! The examples and SQL exercises made it easy to understand and apply in real projects.

  • Sridevi

    July 8, 2025

    Good course for learning database basics and advanced queries. Covers relational concepts, SQL, and indexing well.

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  • Duration : 4 Months
  • Enrolled : 20+ Students
  • Language : Tamil, English
  • Class Time : Flexible
  • Weekdays : Mon – Fri
  • Weekend : Batches Available
  • Schedule : Flexible
Live 1:1 Classes
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  • Beginner-Friendly Learning

  • Hands-On Practice

  • Personal Mentorship

  • Course Completion Certificate

  • Long-Term Unlimited Support

  • Anytime Doubt Clarification