Course Overview
Data is the backbone of modern technology. Learn relational database design (PostgreSQL/MySQL), SQL query optimization, database normalization, and Document stores (MongoDB).
Course Curriculum & Modules
01Module 1: Relational Database Modeling & Normalization
02Module 2: Mastering SQL Queries, Joins & Aggregations
03Module 3: Indexing, Transactions & Database Performance
04Module 4: NoSQL & Document Store Fundamentals (MongoDB)
05Module 5: Building a Database Backed API Data Layer
Data Engineering Department Pathway
Data Engineering focuses on relational SQL/NoSQL databases, automated ETL data pipelines, big data streaming (Spark/Kafka), cloud data warehouses, and enterprise data governance frameworks.
Computer & Hardware Requirements
Processor:Intel i5/AMD Ryzen 5 or better
Memory (RAM):8 GB RAM
Graphics Card:Standard graphics
Storage:100 GB SSD
Display:Standard display
Key Learning Outcomes & Benefits
- ✓Design normalized relational database schemas.
- ✓Write complex SQL queries, joins, subqueries, and aggregations.
- ✓Understand NoSQL document databases and key-value stores.
- ✓Connect databases securely to backend application logic.