Predictive Analytics:
Data Prep, Models and Algorithms, and Deployment

Registration Ends June 1

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This three-day seminar walks attendees through a comprehensive implementation framework for value-focused analytics. Participants will be exposed to both strategic and tactical elements of predictive modeling with a view on the unique dynamics inherent in larger organizations.

The first day provides a forest-view of goal-driven analytics for growth-minded organizations. Beyond introducing the common machine-learning methods leveraged in predictive analytics, participants will understand why assessing and planning for issues like organizational transformation, analytic team construct and valid opportunity identification are essential for successful project deployment and adoption.

Days two and three dive under the hood to explore the two main types of machine learning engines: supervised and unsupervised. Each day focuses on how to prepare data, select machine learning algorithms and deploy models specifically for each unique approach and class of analytic problems. Most importantly, the instructor will explore how to transform and explain the findings from each model type into measurable actions.

Virtual Classroom - New for 2018!

Can't travel to the seminar? You can join this seminar via our virtual classroom.Learn More


Seminar Track
Keith McCormick
Senior Consultant
and Trainer
The Modeling Agency
Monday, June 4
Serious Play for Predictive Analytics: What Works, What Doesn’t and Why
(Click for Full Description)
Tuesday, June 5
Supervised Machine Learning: Preparing Data & Deploying Analytic Models for Classification & Prediction
(Click for Full Description)
Wednesday, June 6
Unsupervised Machine Learning: Preparing Data & Deploying Analytic Models for Clustering & Association
(Click for Full Description)

Reserve your spot at the New York seminar today!


Super Early Bird Registration (Save 20% by Apr 13) Early Bird Registration (Save 10% by May 4) Regular Registration (Register by June 1)
1-Day Package $792 $891 $990
2-Day Package $1,424 $1,602 $1,780
3-Day Package $1,800 $2,025 $2,250

MEMBER DISCOUNT: Receive a 10% discount on your registration. Membership status will be validated when your registration is processed.

TEAM DISCOUNT: Part of a team of 3 or more? Use promo code TEAM to receive an additional 10% off for each member of your group.

REFUND AND CANCELLATION: You may substitute one person in your place by contacting at least five business days prior to the event. If you must cancel all or part of your registration, your refund request must be sent to no later than 10 business days prior. Your fee will be returned, less a 20% cancellation fee. No refunds will be issued within 10 days of the event.

New York, NY

Venue Location

MicroTek Training Center
180 Maiden Lane
Suite 1103
New York, NY 10038


Club Quarters Wall Street or Midtown  DoubleTree  Mariott Fairfield Inn & Suites  Hampton Inn Manhattan  Club Quarters World Trade Center
Additional Information

Virtual Classroom

About the Virtual Classroom

TDWI has partnered with MicroTek to offer virtual classroom opportunities to our students at several of our 2018 Seminars. The Virtual Training Room enables remote attendees to experience the benefits of instructor-led training without having to travel. Remote participants experience the same collaboration, instructor interaction, and learning benefits as those who are physically in the classroom. TDWI’s Virtual Training Room technology allows all students to:

  • See and hear everything that is taking place in the live classroom
  • Raise their hands and ask questions
  • View and interact with course content (presentations, videos, whiteboard notes and more)
  • Experience real-time collaboration

Virtual Training Room from the Learner's Perspective (Video)

Virtual Classroom Requirements

All remote users need to participate in a Virtual Training Room event is a computer with camera, wired Internet connection, speakers, and a microphone — it’s that easy.

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TDWI New York Seminar

MicroTek Training Center
180 Maiden Lane
Suite 1103
New York, NY 10038
June 4–6


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