October 23-27, 2016
New York
Delivering on the promise of data science
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Analytics Workshops
Predictive Analytics World, October 23-27, 2016 in New York



Sunday, October 23

R Bootcamp:
For Newcomers to R
Three-hour Afternoon Workshop: 1:30-4:30pm

  • This half-day workshop launches your tenure as a user of R, the well-known open-source platform for data analysis.
  • Max KuhnMax Kuhn
    Director, Nonclinical Statistics
    Pfizer

Sunday, October 23

Big Data: Proven Methods You
Need to Extract Big Value
Full-day: 9:00am - 4:30pm

  • This one day workshop reviews major big data success stories that have transformed businesses and created new markets.
  • Vladimir BarashVladimir Barash
    Senior Researcher
    Graphika

Monday, October 24

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

Monday, October 24

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

  • Dive in hands-on employing the key predictive analytics algorithms, and gain experience with leading software.
  • Dean AbbottDean Abbott
    President
    Abbott Analytics, Inc.
    Sponsored by:
    Dell

Thursday, October 27

Supercharging Prediction with
Ensemble Models
Full-day: 9:00am - 4:30pm

  • This workshop dives into the key ensemble approaches including Bagging, Random Forests, and Stochastic Gradient Boosting.
  • Dean AbbottDean Abbott
    President
    Abbott Analytics, Inc.
    Sponsored by:
    Predixion

Thursday, October 27

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 ElderDr. John Elder
    CEO and Founder
    Elder Research, Inc.

Thursday, October 27

Hadoop for Predictive Analytics:
Hands-On Lab
Full-day: 9:00am - 4:30pm

  • Gain the power to extract signals from big data on your own, without relying on data engineers and Hadoop specialists.

  • James CasalettoJames Casaletto
    Senior Solutions Architect
    MapR Technologies

On-Demand

Predictive Analytics Applied
An Online Introduction
Online 5 -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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