Exploratory Analysis for Large and Complex Problems

This course presents perspective-changing combinations of graphics and predictive analytics in a framework that addresses the realities that an analytical staff faces in developing and presenting new exploratory findings. Complex exploratory predictive models are built with real-world data and investigated. Attendees learn how to use new methods to screen data sets with large numbers of variables, use new graphical techniques to present findings and find hidden relationships in multiple dimensions.

Voraussetzungen
To maximize the return on investment from the class, you should have the following skills and experience: Background in analytical methods, experience with predictive modeling, familiarity with Base SAS, SAS/STAT, and SAS/GRAPH software. This class is taught in SAS Enterprise Miner and Foundation SAS. Familiarity with SAS Enterprise Miner is helpful.

Zielgruppe
Data analysts who support tasks such as market research, sales analysis and forecasting, list mining, R&D, and process improvement.

Module
SAS Enterprise Miner, SAS/STAT Software.

Kursinhalte

• Predictive Analytics and Exploratory Data Mining
• Working with Unstructured Data
• Exploratory Data Mining and Predictive Models
• Exploratory Predictive Modeling
• Exploratory Findings

Referent
Jeff Zeanah, President of Z Solutions, Inc.
Dieser Kurs ist Bestandteil folgender Rolle(n):

• Data Miner
• Market Researcher

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