for Marketing Managers and Analysts
~ One-Day Course ~
| I. | Introduction to Data Analysis and Modelling | |
| A. | What is a model? | |
| B. | Types of models | |
| C. | Performance criterion | |
| D. | Modelling methods | |
| E. | Modelling process | |
| II. | Exploratory Data Analysis (EDA), Data Mining (DM) | |
| A. | What are EDA and DM? | |
| B. | Preparing the data | |
| C. | Data reduction | |
| D. | Identifying patterns | |
| III. | Modern Methods of Testing | |
| A. | Common testing rules | |
| B. | Statistical test designs | |
| IV. | Primer on Segmentation | |
| A. | Why and what is segmentation? | |
| B. | Types of segmentation model | |
| C. | Excuting a segmentation | |
| D. | Cases Study | |
| V. | New Approaches - Knowledge Discovery, Data Mining (KDD) | |
| A. | Artificial Intelligence (AI) Methods | |
| B. | Hyrid AI-Statistics Models | |
DM STAT-1 CONSULTING / 
br@dmstat1.com
574 Flanders Drive / North Woodmere, NY 11581 / U S A
Voice 1-516-791-3544 / Fax 1-516-791-5075
Toll Free 1 800 DM STAT-1