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Start 4 June 2026 17:34

Einde 4 June 2026

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Introduction to Data Mining in SQL Server Analysis Services

Learn to create and integrate data mining models in SQL Server Analysis Services for customer prediction, marketing optimization, and forecasting using various algorithms and tools.
PASS Data Community Summit via YouTube

PASS Data Community Summit

6076 Cursussen


1 hour 27 minutes

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Overzicht

Learn to create and integrate data mining models in SQL Server Analysis Services for customer prediction, marketing optimization, and forecasting using various algorithms and tools.

Lesprogramma

  • Course Introduction
  • Overview of Data Mining and its Importance
    Introduction to SQL Server Analysis Services (SSAS)
  • Data Mining Concepts
  • Key Data Mining Techniques
    Understanding Data Patterns and Relationships
  • SQL Server Analysis Services (SSAS) Overview
  • SSAS Architecture and Key Components
    Setting Up a Data Mining Environment in SSAS
  • Data Preparation
  • Data Cleansing and Transformation
    Importing Data into SSAS
  • Building Data Mining Models
  • Types of Data Mining Models in SSAS
    Creating a Data Mining Structure
    Selecting Algorithms for Data Mining
  • Data Mining Algorithms
  • Decision Trees
    Neural Networks
    Naive Bayes
    Association Rules
    Clustering
    Time Series Analysis
  • Integrating Data Mining Models
  • Deploying Models in SSAS
    Using Models in SQL Server Management Studio
  • Evaluation and Validation
  • Measuring Model Accuracy
    Cross-Validation Techniques
    Fine-tuning Model Performance
  • Customer Prediction
  • Building Models for Customer Segmentation
    Predicting Customer Churn
  • Marketing Optimization
  • Targeting Campaigns with Predictive Analytics
    Analyzing Customer Sentiment and Behavior
  • Forecasting
  • Time Series Forecasting Techniques
    Demand Prediction Models
  • Practical Applications and Case Studies
  • Real-World Applications of Data Mining in Business
    Success Stories and Best Practices
  • Tools and Resources
  • SSAS Tools and Extensions
    Additional Resources for Learning and Development
  • Course Summary and Next Steps
  • Summary of Key Concepts
    Further Learning Opportunities and Certifications

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