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Syllabus
Course 1: Introduction to Data Mining
Course 2: An Introduction to Database Marketing
Course 3: Exploratory Data Analysis
Course 4: Emerging Standards in Data Mining
Course 5: Data Mining Techniques for Novices
Course 6: Advanced Data Mining Techniques
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Course 1: An Introduction
to Data Mining |
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Benefits
of Attending the Course
At the end of the course the attendees will be able to:
• Appreciate the value add that Data Mining brings
to the field of decision support over existing technologies
lies On-line Analytical Processing (OLAP) and query and
reporting tools.
• Understand the steps that must be undertaken in
any data mining project
• Identify business situations that can benefit
from data mining
• Plan and manage a data mining project
• Confidently discuss the role and applicability
of data mining to business problems
Course Content
• What is data mining?
• A brief History of Data Mining
• Data Ming and the Decision Support Landscape
• Query and Reporting Tools
• OLAP
• The Data Mining Process
• From Business Problem to Business Solution
• Data Pitfalls
• Process Design
• Model Building
• Deployment Architectures
• The CRISP-DM Methodology
• Data Mining Goals
• Classification
• Regression
• Segmentation
• Dependency Modeling
• Association Rules
• Sequence Rules
• An Introduction to Mining Concepts
• Modeling Techniques
• Decision Tree Induction
• Neural Networks
• Lazy Learning
• K-Means Clustering
• Knowledge Validation and Performance Estimation
• Confusion Matrix
• Lift
• Case Studies
• Finance: Cross Selling
• Telecommunication: Churn Analysis
• Manufacturing: Yield Enhancement
Pre-requisites
None
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