predictive analytics
PREDICTIVE ANALYTICS SEMINAR: Registration and Information
Program: Predictive Analytics for Business, Marketing and Web
Dates & Locations: October 24 - 25, 2008: Washington, DC — In conjunction with eMetrics
November 6-7, 2008: San Francisco, CA
On-demand: online eCourse
Schedule: Day 1: 9:00am - 5:00pm; Day 2: 9:00am - 4:00pm
There is a one-hour lunch and four 15-minute coffee breaks each day
Instructor: Eric Siegel, Ph.D.
Price (US Dollars): $1,395 early-bird registration 3 weeks ahead; $1,495 thereafter - Register
Crossover Special: Attendees earn $250 off the Predictive Analytics World Conference

Venue Information:

Chicago, IL: Morton's The Steakhouse, 65 East Wacker Place, Chicago, IL

Featuring Morton's signature menu, this state-of-the-art meeting facility is located in the heart of downtown Chicago. Nearby attractions include the Magnificent Mile of Michigan Avenue, Sears Tower, Millenium Park, Navy Pier, and Chicago's Theatre District.

Washington, DC: Hilton Alexandria Mark Center, 5000 Seminary Rd., Alexandria, VA

Located in Alexandria's quaint Old Town, within sight of Washington, DC monuments and attractions, this hotel is 4.5 miles from Reagan Washington National Airport, and sits adjacent to the Winkler Botanical Preserve, a 44-acre campus of trails that wind through tranquil ponds and lush vegetation.

San Francisco, CA: SF State Downtown Campus, 835 Market St., San Francisco, CA

This modern facility, located downtown within the new Westfield Center, is just minutes from San Francisco's cable cars, Chinatown, shopping and museums, and only 15 miles from San Francisco International Airport.


Cross-Registration Special with Predictive Analytics World:

After attending Predictive Analytics for Business, Marketing and Web, you will be eligible for a $250 registration discount for the Predictive Analytics World Conference. The discount may be applied towards registration for any one Predictive Analytics World event within three years. Just email admin@predictionimpact.com with your name and the date on which you attended Predictive Analytics for Business, Marketing and Web to claim your discount code.

See also the cross-registration specials for the online training.


Registration - Three Ways to Register:

1. Registration with Google Checkout:

    Course registration may be secured with a credit card payment via Google Checkout by selecting a scheduled training option below. You will receive email confirming your slot to attend the training seminar, as well as a payment receipt. If the registrant is not the same as the account holder, please specify via email to training@predictionimpact.com after payment.


2. Registration with PayPal:

    Course registration may be secured with a credit card, eCheck, or PayPal balance payment via PayPal by selecting a scheduled training option below. You will receive email confirming your slot to attend the training seminar, as well as a payment receipt. If the registrant is not the same as the account holder, please specify via email to training@predictionimpact.com after payment.

    Washington, DC, October 24-25, 2008:                         


    San Francisco, CA, November 6-7, 2008:                     


3. Registration by postal mail:

    You may register by mailing a check or money order with the training program registration form. Note: Mail registrants must also email training@predictionimpact.com to secure a reserved slot to attend the training seminar.


Information:

Cancellation policy. Full refunds (less a $35 transaction fee for payments made online) will be available for registration cancellations 30 days before the training program. 50% of the registration fee will be returned for cancellations between 4 and 29 days before the training program.

Notice of future sessions. If you would like to be notified of future scheduled training sessions, email training@predictionimpact.com. For articles, case studies and training seminar schedules, subscribe to our bi-annual email newsletter.

 
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Participant Comments
"At Intuit we're already using data as an asset on the web, but this course makes it very concrete how we can take it to the next level."

     Jared Waxman
     Web Analytics Leader
     Intuit

"The best part of this training program is the clear correlation to practical applications in everyday business."

     Reto Matter
     VP Business Intelligence
     PlanetOut Inc.

"Eric is an A+++ instructor with a great sense of humor."

     Ali Maleki
     Project Manager
     Computer Tech. Consultants

"A very insightful and interesting seminar. I plan to put data mining and predictive analytics to work for us right away thanks to your ability to make this an approachable subject."

     Rob Ford
     Director Pricing
     Getty Images

"Making predictive analytics clear, simple and even entertaining is a tall order, but this seminar does just that! There's a mammoth load of material here, presented in understandable, actionable terms."

     Whitney Sales
     Senior Account Manager,      Business Solutions
     LoopNet, Inc.

"This seminar provides a strong foundation to drive revenue from data by mining new opportunities."

     Angel Morales
     Director, Retail Strategies
     ExactTarget

"Eric reveals a roadmap to the use of predictive modeling in achieving business objectives, emphasizing the alignment of the resources critical to success. He balances a refreshing confidence in academic models with a practical regard for the inevitable fallibility of real-world data, and leads the way with a contagious sense of exploration and discovery. I learned a great deal in two days and had fun doing so."

     David Becker
     Business Analyst
     Pilgrim Insurance

Read more testimony

 
Prior Attendees
  • American Cancer Soc
  • AOL
  • Apple
  • Avnet
  • Blue Shield of CA
  • Britannica
  • Boeing
  • Cablevision
  • Capital Group
  • Cavalry Investments
  • Corporate Express
  • Compass Bank
  • Deckers
  • Dentsu
  • Disney
  • DoubleClick
  • eLayaway
  • Electronic Arts
  • ESPN
  • ExactTarget
  • Fandango
  • Fidelity Canada
  • FriendFinder
  • Geico
  • Getty Images
  • Hewlett-Packard
  • HowStuffWorks.com
  • IBM
  • IEEE
  • IMS Health Canada
  • Intuit
  • iTVX
  • JPMorgan
  • KnowledgeBase Mktg
  • LoopNet
  • lynda.com
  • Liberty Mutual
  • MEC Interaction
  • Merck
  • Microsoft
  • MITRE
  • Monster.com
  • MySpace
  • NASA
  • New York Times
  • Ontario Lottery
  • Orbitz
  • Pacific Bell (now SBC)
  • Panalysis
  • PayPal
  • Penn State
  • Petro-Canada
  • Pilgrim Insurance
  • PlanetOut
  • PPG Industries
  • Primedia
  • Qualcomm
  • Qwest
  • Raritan
  • Reliant Energy
  • SAIC
  • SAS
  • Scandinavian Airlines
  • Sciele Pharma
  • Synovate Healthcare
  • T-Mobile
  • The Ladders
  • Teleflora
  • Tourism BC
  • US Auto Parts
  • US Census Bureau
  • US State Department
  • USA Today
  • USDA
  • VSP
  • Wells Fargo
  • Yahoo!
... as well as many other non-profits, direct marketing shops and small-to-medium online businesses.