Led by industry veterans, receive state-of-the-art data mining training and predictive modeling training utilizing the most current and profitable techniques.

ADVANCED DATA MINING AND PREDICTIVE MODELING
To Grow and Prosper In Tough Economic Times

COURSE OVERVIEW
Long gone are the days when data was scarce.  In the modern world, we’re drowning in data and it’s growing deeper at a dizzying pace ... every second ... around the clock ... exponentially!  We not only have greater data depth, we also have greater data breadth with respect to the multiplying number of data items available to us.  And the sources of data have evolved to include new ones, like the vast enormity of the World Wide Web.

Data no longer exclusively exists in a structured fashion.  Similarly, it no longer largely comes to us – we can electronically go to it if we know where and how to find and mine it.  Data is also no longer largely quantitative; it’s becoming more and more qualitative with each passing moment.  It is ever-evolving and the imperatives for deriving meaning from it today ... right now! ... will create the difference between success and failure for many enterprises.

Our Advanced course picks up where the fundamentals in our Essentials course left off.  It’s the perfect complement for those wanting to take full advantage of state-of-the-art practices in data mining and modeling.  With this course, you will become intimate with the more advanced and powerful methods to effectively find, manage, and mine rich veins of information that are increasingly becoming available to you.

Your Satisfaction With "Advanced Training" Is 100% Guaranteed.

HOW YOU’LL BENEFIT
What you will minimally learn from this course:

Web and text data mining techniques you can employ to gain new insights to power your profits
Ways to turn qualitative text and web data into quantitative data to lift modeling and mining results
Advanced methodologies to reveal, understand, and capitalize on previously hidden data patterns
Multiple leading-edge algorithms needed for varying types of problem solving and how to prescribe them
How to go from drowning in large quantities of correlated data items to downing them for extra points
Ways to uncover important associations across varying groups of items and how to turn this into money
Knowledge discovery methods you can use to understand categorical data drivers and how to predict
Latest "How to's" for developing models that are transportable across environments and the Internet
Methodologies you can apply to any model-building exercise to ensure even greater modeling accuracy

A detailed course manual, complete with references, is included as part of the curriculum.     

In addition, we want you to receive the maximum benefit from this course and we recognize there will be questions resulting from what you’ve learned.  Therefore, every organization attending this course will also receive up to two hours of free phone follow-up consultation and advisory as part of our service to you.

WHO SHOULD ATTEND
Anybody who has an interest or is associated with the field.  Those who would especially benefit from data mining training and predictive modeling training include:

MARKETING EXECUTIVES AND PRODUCT MANAGERS: Anyone responsible for product marketing and direct sales
    channels, including Internet Marketing, Direct Mail, and Telemarketing professionals
QUANTITATIVE EXPERTS, RESEARCHERS AND ANALYSTS: Statisticians, Modelers, Business Intelligence Analysts,
    Financial Analysts, Actuaries, Marketing Research Executives
IT EXECUTIVES AND MANAGERS: CIO’s, CTO’s, Decision Support Associates, Systems Analysts, Systems
    Developers, Project Leaders, DBA’s, Database Programmers
PROFESSIONAL SERVICES AGENCIES: Consultants, Account Executives, List Managers, List Brokers, Internet
    Marketing Agency Executives, Direct Marketing Agency Executives, Database Marketing Executives, Business
    Development Executives

ADVANCED COURSE OUTLINE

DAY 1 - MORNING SESSION  Introduction  Staying on the Cutting Edge without Bleeding:     The Importance of Where We're At and Keeping Up     New Solutions Create New Problems     New Problems Demand New Solutions  Methods and Applications     Predictive vs. Descriptive     Supervised vs. Unsupervised  Data Overload: Solving Dimensional Problems     Principal Component / Factor Analysis     Artificial Neural Networks

DAY 2 - MORNING SESSION  Unsupervised Methods: How To Discover Previously     Unknown Categories of Things in Data, Understand     What Drives The Differences, and Learn How to     Capitalize on this New Knowledge     Hierarchical Cluster Analysis     K-Means Cluster Analysis     Self Organizing Maps  Alternative and Supplemental Methods     RFM Methodologies     Geodemographics

DAY 1 - AFTERNOON SESSION  Association Analysis: How to Identify Important     Connections Among Things That May Be Different     Market Basket Analysis     Sequential Pattern Mining  Supervised Methods: How To Identify Key     Differentiators for Known Categories of Things     And How To Capitalize Through Inference     Multinomial CHAID (Tree Analysis)     Discriminant Analysis     Multinomial Logistic Regression

DAY 2 - AFTERNOON SESSION  Web Data and Text Mining: How to Augment and     Supercharge Quantitative Modeling and Data     Mining Efforts with Qualitative Information  How to Improve Modeling and Mining Accuracy     Review of Traditional Methods     Boosting     Bagging     Ensemble Modeling  Improving Model Transportability through PMML     (Predictive Modeling Markup Language)