October 29-November 2, 2017
New York
Delivering on the promise of data science

Analytics Workshops
Predictive Analytics World, Oct 29-Nov 2, 2017 in New York



Sunday, October 29

R Bootcamp:
For Newcomers to R
Two and a half hour morning workshop: 9:00-11:30am

  • This 2.5 hour workshop launches your tenure as a user of R, the well-known open-source platform for data analysis.
  • Max KuhnMax Kuhn
    Software Engineer
    RStudio

Sunday, October 29

R for Predictive Modeling:
A Hands-On Introduction
Full-day: 12:00pm - 7:30pm

  • Gain experience driving R for predictive modeling across real examples and data sets. Survey the pertinent modeling packages.
  • Max KuhnMax Kuhn
    Software Engineer
    RStudio

Sunday, October 29

Big Data: Proven Methods You
Need to Extract Big Value
Full-day: 10:00am - 5:00pm

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

Wednesday, November 1

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.

Wednesday, November 1

Spark on Hadoop for Machine
Learning: 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
    Principal Solutions Architect
    MapR Technologies

Wednesday, November 1

Advanced Methods:
Data Preparation and Modeling Techniques
Full-day: 9:00am - 4:30pm

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


Thursday, November 2

Supercharging Prediction with
Ensemble Models
Full-day: 8:30am - 4:30pm

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

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




Web analytics training workshops from our partner eMetrics

Sunday, October 29

Fundamentals Of Digital Analytics
Full-day: 8:30am - 4:30pm

  • Digital Analytics Association Essential Series workshop for those who are new to web analytics.
  • June LiJune Li
    Founder and Managing Director
    ClickInsight

Wednesday, November 1

Applying Digital Analytics
Full-day: 8:30am - 4:00pm

  • DAA Essential Series: Discover the first steps to using web analytics to improve site design, email marketing/visitor life cycle, social media marketing, and more.
  • Anil BatraAnil Batra
    Digital Marketing and Analytics Consultant

All level tracks Blue circle workshops are for All Levels
Red triangle workshops are Expert/Practitioner Level

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