Data Mining Reading List
Resources for extracting patterns and knowledge from large datasets. Covers classification, clustering, association rule mining, statistical foundations, and the practical workflow from raw data to actionable insights. Data mining bridges statistics, machine learning, and domain expertise.
Reading List
Databases Topic Hub
Foundational database concepts including SQL, schema design, and query optimization that support all data mining work.
Databases
All levels
Data Structures and Algorithms Using VB.NET
Core algorithms for sorting, searching, and graph traversal that underpin data mining implementations.
Algorithms
Intermediate
Data & Databases Learning Path
Structured progression from database fundamentals through analytical techniques.
Learning Path
All levels
Explore Further
Browse the Databases hub for more resources, or explore our learning paths for structured progressions.