Education

Data Mining Techniques: Theory and Practice

Role

Statistical Analyst

Duration

3 Days

Description

The course will be presented by Michael J. A. Berry or Gordon S. Linoff , co-founders of Data Miners, Inc. and co-author of Data Mining Techniques for Marketing, Sales and Customer Relationship Management and Mastering Data Mining

The course is based on the newly revised and expanded book, Data Mining Techniques for Marketing, Sales and Customer Relationship Management. This course is for business analysts and their managers, statisticians, and anyone who has a professional interest in data mining.

The course introduces a data mining methodology that is a superset of the SAS SEMMA methodology around which SAS Enterprise Miner is organized. This course also introduces a wide range of data mining algorithms and both theoretical knowledge and practical skills.

Prerequisites

No prior knowledge of statistical or data mining tools is required.

SAS Modules Used

This course uses Version 5.2 of SAS Enterprise Miner

Course Topics

Introduction to Data Mining

Data Mining Methodology

Data Exploration

Statistics and Regression

Decision Trees

Neural Networks

Memory Based Reasoning

Clustering

Survival Analysis

Miscellaneous Techniques

Putting Data Mining Techniques to Work