Instructor Led Data Analysis Training Classes in United States
From Prediction Impact
Predictive Analytics for Business Marketing and Web



Dates: September 24-25, October 24-25, November 6-7, 2008
Location: Chicago (Sept), Washington DC (Oct), San Francisco (Nov)
94% rate this program Excellent or Very Good.
**The official training program of Predictive Analytics World**
**Offered in conjunction with eMetrics events**
(Also see our Online Training: Predictive Analytics Applied - immediate access at any time
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From INT Information Systems, Inc.
Mastering: Microsoft Excel PivotTables


One of Excel's most powerful features is also one of its most neglected. Many people have never even heard of PivotTables and those who have have often seen only the most basic features of the tool. This class devotes an entire day to exploring all of the most useful and powerful aspects of Excel's PivotTables. The class is taught as a hands-on "laboratory" lead by an experienced instructor.
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From Computer Training Source, Inc.
Microsoft Excel Advanced
...ta validation, merge and link workbooks, and use advanced data analysis tools. Our classes are all instructor-led, hands-on learning. Each student has their own computer and is given a student manual with practice files to take home. A free repeat, within six months, is included as well as thirty days of technical support. Class is usually one day from 9am to 4pm (unless it& 39;s an evening
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From Technology Training, Inc.
Digital Signal Processing and Data Analysis


This short course provides participants with a working knowledge of the tools available for analysis of data acquired by digital data acquisition systems for a variety of laboratory and field applications. Basic analysis principals and methods are presented and reinforced with practical examples from everyday testing operations. The interaction between test design, data acquisition and analysis is
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From The Modeling Agency
Data Mining: Level III


ABOUT THIS COURSE
This third-level offering takes 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,
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Data Mining: Level II

ABOUT THIS COURSE
This second 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
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Data Mining: Level I

ABOUT THIS COURSE
Data 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
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From Exsilon Data & Statistical Solutions
MINITAB & Statistical Analysis Training

Consultancy offering data analysis and statistical support for quality and process improvement efforts.
Exsilon offers a comprehensive MINITAB and statistical training curriculum in San Francisco.
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From Camo Inc.
Monimuuttujamenetelm t 1 (Multivariate Data Analysis - Finnish Course)


The course hax been designed for individuals:
* Involved in consumer insights, R&D, product development, process optimization, quality control & monitoring.
* Working with spectroscopic instruments (NIR, FTIR, UV, UV/VIS, NMR, DAS, Raman, Mass Spectroscopy) chromatography instruments (LC, CE, GC, HPLC), production data & sensory data, R&D, quality control or production processes.
Course Topics
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From Boston University Corporate Education Center
GIS Project Development and Process
Course description
The pursuit of a GIS analysis process involves a number of specific steps. This course introduces students to a structured approach to GIS project development from conceptualization to final results. Special attention is paid to the planning and organization process and the course highlights specific issues that may be faced at each stage. During the final day of the course
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From Camo Inc.
Multivariate Data Analysis


Introduction to multivariate data modeling
When are multivariate methods useful?
Principles and applications of:
Principal Component Analysis (PCA)
Multivariate regression: Multi Linear Regression (MLR), Principal Component Regression (PCR), Partial Least Squares (PLS)
Relevant data collection
Multivariate modeling step by step
Pretreatment and scaling
Detecting and dealing with
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