Predictive Analytics for Business Marketing and Web ...n order to run a successful predictive analytics and data mining initiative
* How to strategically position and tactically deploy predictive analytics and data mining at your company
* How to bridge the prevalent gap between technical understanding and practical use
* How a predictive model works, how it's created and how much revenue it generates
* Several detailed case studies that more...
Predictive Analytics for Business, Marketing and Web ...n order to run a successful predictive analytics and data mining initiative
*How to strategically position and tactically deploy predictive analytics and data mining at your company
*How to bridge the prevalent gap between technical understanding and practical use
*How a predictive model works, how it's created and how much revenue it generates
*Several detailed case studies that demonstrate more...
Predictive Analytics for Business, Marketing and Web ...n order to run a successful predictive analytics and data mining initiative
*How to strategically position and tactically deploy predictive analytics and data mining at your company
*How to bridge the prevalent gap between technical understanding and practical use
*How a predictive model works, how it's created and how much revenue it generates
*Several detailed case studies that demonstrate more...
SQL Server 2005 Analysis Services ...lement OnLine Analytical Processing (OLAP)
cubes and data mining models to support Business Intelligence (BI)
solutions. Includes concepts, procedures and practices
based on real-world experience giving both the novice and experienced
SQL Server 2005 developer the tools to build data warehousing and
decision support system solutions. Learn about end-user tools
including Microsoft Excelmore...
Data Mining: Level III ...akes the tactical and methodological presentation of Data Mining: Level II and puts the material into action through team-driven, live data mining exercises. Comparative review sessions then reveal real-world obstacles, breakthroughs and results from which to interpret, learn and apply.
Data Mining: Level III is a hands-on application workshop, applying data mining methods and techniques more...
Data Mining: Level II ... level offering presents a deeper examination of the data mining process at a functional level. Attendees will observe demonstrations of computer-guided analytical techniques for extracting and interpreting complex business rules from data. If you desire a rapid and substantial boost in your understanding of data mining concepts, tools, techniques and supporting methods, then this course is more...
Data Mining: Level I ...mining is essentially a discovery process -- a process riddled with common yet elusive strategic pitfalls. Project failure is rarely due to poor model development. Rather, data mining projects often fall short of their potential due to flawed or overlooked assessment, business understanding, project definition and strategic planning specifically for information discovery.
If you are looking more...
Corporate Training Programs ... Programming
Data Warehousing
Data Warehousing
Data Mining
Data Warehousing with Oracle 9i
Overview of Data Warehousing for Managers
Programming
Core Java Programming
Enterprise Java Beans
VB.Net
Active Server Page
C Programming
C Programming
ATL COM
Visual Basic 6.0
Legato Networker Training
Vmware Training
Operating Systems
Windows 2000 Administration
Unix more...
Principal Component Analysis and its Applications Principal Component Analysis (PCA) is a multivariate method which can identify redundancy or correlation among a set of measurements or variables for the purpose of data reduction. This powerful exploratory tool provides insightful graphical summaries with ability to include additional information as well.
This training course discusses the limitations of traditional descriptive tools for more...
L'analyse en composantes principales et ses applications L analyse en composantes principales , commun ment appel e ACP , est une m thode statistique multidimensionnelle qui permet de synth tiser un ensemble de donn es en identifiant la redondance dans celles-ci. Elle fournit notamment une synth se graphique des r sultats.
Cette formation discute des limites des m thodes descriptives traditionnelles pour explorer les jeux de donn es contenant more...