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Session 6
Business Intelligence Systems

Data Mining and Analytics for Business Intelligence

5 hours
Duration
8
Materials
6
Objectives
Session Overview

Advanced data mining techniques, predictive analytics, statistical analysis, and machine learning applications for extracting insights from business data.

Learning Objectives
By the end of this session, you should be able to:
  • Apply data mining algorithms: classification, clustering, association rules, regression
  • Implement predictive analytics models for business forecasting
  • Master statistical analysis techniques for business data interpretation
  • Use machine learning algorithms for pattern recognition and anomaly detection
  • Apply text mining and sentiment analysis to unstructured business data
  • Design recommendation systems and customer analytics solutions
Course Materials
Download materials for offline study and reference
Data Mining for Business Intelligence (90 pages)
Available material
Predictive Analytics Implementation Guide
Available material
Statistical Analysis Software Tutorials (R, Python, SPSS)
Available material
Machine Learning Algorithms for Business Applications
Available material
Text Mining and Natural Language Processing
Available material
Customer Analytics and Segmentation Techniques
Available material
Recommendation Systems Development
Available material
Advanced Analytics Project Portfolio
Available material