predictive analytics
PREDICTIVE ANALYTICS SEMINAR: Registration and Information
PROGRAM: Predictive Analytics for Business, Marketing and Web
DATES & LOCATION:
February 16-17, 2010: San FranciscoPredictive Analytics World
April 22-23, 2010: New York, NY
May 7-8, 2010: San Jose, CA
October 19-20, 2010: Wash, DCPredictive Analytics World
October 28-29, 2010: San Francisco, CA
Any time, on-demand: Online eCourse
SCHEDULE: Day 1: 9:00am - 5:00pm; Day 2: 9:00am - 4:00pm
INSTRUCTOR: Eric Siegel, Ph.D.
PRICE (US Dollars): $1,395 early registration 3 weeks ahead; $1,495 regular - Register
CROSSOVER SPECIAL: Attendees earn $250 off the Predictive Analytics World Conference

Venue Information:

New York City, NY: Penn Pavilion, 450 Seventh Ave.

Located in mid-down Manhattan, around the corner from Penn Station, and within walking distance of a plethora of New York City attractions.

San Jose, CA: The Fairmont, 170 South Market Street. (866) 540-4493

In the heart of San Jose and a short drive from 30 wineries and the famous Monterey Peninsula golf courses, the Fairmont luxury hotel blends historic grandeur with all the high-tech excitement of Silicon Valley.

San Francisco, CA: AMA Conference Center, in the San Francisco Marriott Hotel, 55 Fourth St.

This high-tech training center is just minutes from the cable cars, Chinatown, shopping and museums, right next to the Moscone Convention Center, 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 one Predictive Analytics World conference pass purchased at the Early Bird or Regular price within twelve months. 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.

This training program is not a prerequisite for attending Predictive Analytics World, but it sure does help! For alternative ways to ramp up on predictive analytics and prepare to attend the conference, see the Predictive Analytics Guide.

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 a payment receipt from Google via email, as well as email from Prediction Impact with a few logistical items 10 to 14 day before the event. If the registrant is not the same as the account holder, please specify via email to training@predictionimpact.com after payment.

    Or arrange to register for later dates by emailing training@predictionimpact.com.

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 a payment receipt from PayPal via email, as well as email from Prediction Impact with a few logistical items 10 to 14 day before the event. If the registrant is not the same as the account holder, please specify via email to training@predictionimpact.com after payment.


    Or arrange to register for later dates by emailing training@predictionimpact.com.


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.


Click here to return to the course description page.


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.

 
About the Training
Course topics                          About the instructor
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Online course
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Participant Comments
"An excellent overview on how to start using predictive analytics in any organization! In just two weeks I already have buy-in from upper management to explore ways to use predictive analytics to improve up-sells, cross sells and to determine what lifestyle imagery to display to our users. I'm super excited about these projects."

     Jennifer Boland
     Onsite Marketing Analyst
     Sierra Trading Post

"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

Much more testimony

 
Prior Attendees
American Cancer Society
AOL
Apple
Autodesk
Avnet
Bank of America
Bayer
Beliefnet.com
Blue Shield of CA
Britannica
Boeing
Cable & Wireless Panama
Cablevision
Capital Group
Cavalry Investments
ClickValue
Corporate Express
Compass Bank
Deckers
Dell
Dentsu
DermStore
Disney
DoubleClick
Dow Jones
eLayaway
Electronic Arts
ESPN
ExactTarget
Express Scripts
Fandango
Fidelity Canada
Fire Mountain Gems
FriendFinder
Geico
Genentech
Getty Images
Globo.com (Brazil)
Hewlett-Packard
HowStuffWorks.com
Hotwire
Hub International
Human Rights Campaign
IADB
IBM
IEEE
IMS Health Canada
Intel
Interwoven
Intuit
iTVX
JPMorgan
Jupiterimages
KnowledgeBase Marketing
Lennox Industries
Liberty Mutual
LoopNet
Loyalty One - Air Miles
lynda.com
MEC Interaction
Merck
MetLife
Microsoft
MITRE
Monster.com
MRM Worldwide
MySpace
NASA
New York Times
Nickelodeon
Ontario Lottery
Orbitz
Pacific Bell (now SBC)
Panalysis
PayPal
Penn State
PETA
Petro-Canada
Pilgrim Insurance
PlanetOut
PPG Industries
PricewaterhouseCoopers
Primedia
PSEG
Qualcomm
Qwest
Raritan
Rasmussen College
Reliant Energy
SAIC
SAS
Scandinavian Airlines
Sciele Pharma
Sierra Trading Post
SimpleTuition
Synovate Healthcare
T-Mobile
The Ladders
Teleflora
Tourism BC
TransCanada Pipelines
Transcom
US Auto Parts
US Census Bureau
US State Department
USA Today
USDA
VSP
Wells Fargo
West Monroe Partners
World Vision
Yahoo!
 
... as well as many other non-profits, direct marketing shops and small-to-medium online businesses.