October 29-November 2, 2017
New York
The premier machine learning conference
Click here for upcoming PAW events

Analytics Workshops

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

4 West 43rd Street, New York NY 10036

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

Sunday, October 29

R for Machine Learning:
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

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

Wednesday, November 1

Machine Learning Methods:
The Best and the Worst of
Predictive Analytics
Full-day: 8:00am - 3:45pm

  • The key inner workings of leading algorithms, case studies demonstrating their performance and comparison of merits.
  • John ElderDr. John Elder
    Founder and Chair
    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

The Advanced Data Preparation Bootcamp: Whip your
Data into Shape
Full-day: 9:00am - 4:30pm

  • Dive in hands-on with crucial data prep steps, including cleaning, missing value imputation, feature creation/selection, and sampling.
  • Dean AbbottDean Abbott
    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
    Abbott Analytics


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

Wednesday, November 1

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

  • 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.
  • Keith MacDonaldKeith MacDonald
    Marketing Science Leader
    Critical Mass

Wednesday, November 1

Visualization and Storytelling
The New Big Data Skill
Full-day: 9:00am - 4:30pm

  • Lee Feinberg of DecisionViz will teach how to structure a visual story, how to apply the foundations of visual language, and how to work closely with your audience in this visualization workshop.
  • Lee FeinbergLee Feinberg
    Founder and President

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

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