Data & Databases Learning Path
A four-step progression from relational fundamentals to data mining and application integration. Every modern application depends on how well you handle data—this path gives you the foundation to do it right.
Estimated time: 6–10 weeks at 5–10 hours per week
Database Foundations
Understand relational theory, table design, normalization, and the SQL language. Learn to think in sets rather than loops.
Data Structures for Storage
Learn how B-trees, hash indexes, and in-memory structures affect query performance. Understand the algorithms behind your database engine.
Data Mining and Analytics
Move beyond CRUD—apply classification, clustering, and association rule mining to extract insights from large datasets.
Integration with Applications
Connect databases to application code. Learn ORM patterns, connection pooling, transaction management, and API-layer data access.