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Analytics Workshops
Predictive Analytics World, September 30- October 4, 2012 in Boston


Tuesday, October 2

R Bootcamp:
For Newcomers to R
Three hours: 6:30pm - 9:30pm

  • Designed for newcomers to the language of R, "R Bootcamp" covers the R ecosystem and core elements of the language, so you attain the foundations for becoming an R user.
  • Max KuhnMax Kuhn
    Director, Nonclinical Statistics
    Pfizer

Wednesday, October 3

R for Predictive Modeling:
A Hands-On Introduction
Full-day: 9:00am - 4:30pm

  • Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages.
  • Max KuhnMax Kuhn
    Director, Nonclinical Statistics
    Pfizer

Wednesday, October 3

Modeling Methods: The Best and
the Worst of Predictive Analytics
Full-day: 9:00am - 4:30pm

  • The key inner workings of leading algorithms, case studies demonstrating their performance and comparison of merits.
  • John ElderJohn Elder, Ph.D.
    CEO and Founder
    Elder Research

Thursday, October 4

Advanced Methods Hands-on: Predictive Modeling Techniques
Full-day: 8:45am - 4:30pm

  • Dive in hands-on employing the key predictive analytics algorithms, and gain experience with leading software.
  • Kim LarsenDean Abbott
    President
    Abbott Analytics
    Sponsored by:
    Statsoft

Friday, October 5

Making Text Mining Work: Practical Methods and Solutions
Full-day: 9:00am - 4:30pm

  • The text mining solutions available now, the problems for which they are best suited and best practices in text mining.
  • Andrew FastAndrew Fast
    Director of Research
    Elder Research, Inc.

On-Demand

Predictive Analytics Applied –
An Online Introduction
Online 5 ½-hour training program – on demand

  • New to predictive analytics? Take this online course instructed by the chair of PAW to ramp up before the conference. On-demand access at any time.
  • Kim LarsenEric Siegel Ph.D.
    Conference Chair
    Predictive Analytics World

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