Crm Data Mining Web-based Seminars
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From Predictive Analytics World
Predictive Analytics World CONFERENCE VIDEOS DC Sessions Now - Online On Demand
Predictive Analytics World is pleased to announce on demand access to the videos of PAW Washington DC, October 2010, including over 30 sessions and keynotes that you may view at your convenience. Access this leading predictive analytics content online now:
View the PAW DC session videos online
Trial videos a view the following for no charge:
a Keynote from Andrew Pole of Target: "How
more...
Predictive Analytics World CONFERENCE VIDEOS DC Sessions Now - Online On Demand
Predictive Analytics World is pleased to announce on demand access to the videos of PAW Washington DC, October 2010, including over 30 sessions and keynotes that you may view at your convenience. Access this leading predictive analytics content online now:
View the PAW DC session videos online
Trial videos a view the following for no charge:
a Keynote from Andrew Pole of Target: "How
more...
From Statistics & Analytics Consultants Group
Introduction to Surveys





This course is an introduction to survey design, methodology, implementation and execution. The course will also go through questionnaire design/ writing, sample design, data collection strategies, multivariate analyses, and presentation of tables/ graphs. For more information contact us directly.
Our courses are offered in three formats a resident course at our office, a corporate course on
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From Linking Denver to Colorado Springs
Data Integration for Data Mining with Talend Open Studio OS



This course covers the many data integration procedures necessary to create a Customer Analytic Record (CAR) suitable for data mining operations. Talend OS is an Open Source tool; the client version is available for free download. The Talend company charges for the client/ server version of the tool and any support required for its installation and use. Data integration tools like Talend perform
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Data Mining for CRM using STATISTICA Data Miner
This course introduces you to the area of customer relationship management (CRM) and the STATISTICA Data Mining10. 0 interface. You are introduced to the different learning methods of parametric statistical analysis and data mining analysis, and introduced to the practice of combining several modeling algorithms (ensembles) to predict customer responses. The methodological emphasis of this course
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Data Mining for CRM using SAS-Enterprise Miner
This course introduces you to the application area of customer relationship management (CRM) and the SAS-Enterprise Miner 6. 2 interface. Differences between the pattern learning approaches of parametric statistical analysis and data mining are presented and compared. Groups of algorithms are combined to form "ensembles" for more powerful prediction of customer response patterns. Customer behavior
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Data Manipulation Techniques
Using a popular statistical software package you will learn basic data manipulation tasks such as: Bringing in different types of files (SPSS, SAS, txt, dat., excel, use the ODBC, etc); Clean data and address such issues as missing data, duplicate entries, outliers; Reshaping, aggregating, merging data; Performing such tasks as looping, vectors, beginning automations with macros specific to data
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Introduction to Statistics Using Common Software Packages
This course measurably increases your ability to interpret, conduct, & write comprehensive marketing reports using statistics while training using Popular Statistics software. The primary goal of the course is to be able to determine which analysis is appropriate given the question and type of data given. The course will focus on pragmatic business applications, interpretations, presentation, and
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From The Modeling Agency
Data Mining Failure to Launch, How To Get Predictive Modeling Off The Ground And Into Orbit



WHAT'S COVERED
The vast majority of BI professionals are excited about the prospects of data mining and predictive analytics, but are fully mystified about where to begin or even how to prepare. Of those who did initiate a modeling initiative, a recent industry survey of predictive analytics practitioners reports that 51% of data mining projects either never left the ground, did not realize
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