Introduction to Data Mining in SQL Server Analysis Services

Overview

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.

Syllabus

• 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

Subjects

Conference Talks