Learning Path

Data Mining Algorithms for Pattern Discovery in Large Datasets

Data Structures for Large Datasets → Scalable Pattern Discovery in Large Datasets

12 Knowledge Nodes · 12 Learning Steps · v0 Active

This advanced graduate-level path equips data scientists with the knowledge and skills to discover patterns in large datasets. It covers essential data structures and statistics, then delves into association rule mining (Apriori, FP-growth), clustering (DBSCAN), and anomaly detection, with a focus on scalability and practical application.

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Path Nodes

12 learning steps · 3 phases. Click any step to inspect it and see it on the Path Map.

Phase 1

Foundation

4 steps

Phase 2

Core Concepts

4 steps

Phase 3

Advanced Topics

4 steps