Roadmap
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1
Data warehouse
- Architecture and data marts
- Multidimensional model and cubes
- OLAP operations
- Metadata and ETL
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2
Pre-processing
- Data cleaning and integration
- Transformation and reduction
- Discretization
- Data quality
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3
Mining techniques
- Association rules (Apriori, FP-growth)
- Classification (decision trees, Naive Bayes)
- Clustering (k-means)
- Outlier detection
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4
Exam preparation
- Important questions
- Solved numericals
- Short notes
- Previous-year papers
Related video lessons
All videos →Ep 03 | What is a Data Warehouse? Definition & Characteristics | DWDM in Hindi
New · 11 November 2026