Predictive Analytics Vendor-Neutral Courses [ Wash-DC, Oct | Live Online, Nov ]

Event Details

Predictive Analytics Vendor-Neutral Courses [ Wash-DC, Oct  |  Live Online, Nov ]

Time: October 24, 2016 at 9am to October 28, 2016 at 5pm
Location: Public Contracting Institute
Street: 1725 I Street NW, Suite 100
City/Town: Washington, DC
Website or Map: https://the-modeling-agency.c…
Phone: (281) 667-4200 x3
Event Type: public, course
Organized By: The Modeling Agency, LLC
Latest Activity: Aug 28, 2016

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Event Description

Predictive Analytics & Data Mining

Make Data Science Pay. We’ll Show You How.

Instructor-Led Vendor-Neutral Certificate Training
 [  Wash-DC, Oct | Live Online, Nov ] 

Successful analytics in the big data era does not start with data and software. It starts with immersive hands-on training, and goal-driven strategy.

The Modeling Agency’s courseware spans all skill levels and analytic team roles. Leadership and practitioners will collaborate more effectively to arrive at actionable results with measurable impact.

Attend an upcoming event to obtain these key skills immediately:

  • Plan and prepare your modeling projects effectively from the start
  • Identify, qualify and prioritize viable and actionable analytic opportunities 
  • Gain an unrestricted vendor-neutral view of analytic tools, techniques and methods
  • Apply a modeling practice framework for implemention consistency in goal-driven analytics
  • Acquire the rare blend of tactical and strategic skills to really stand out as a data scientist
  • Take an incremental low-risk / high-impact approach to analytic project development
  • Organize and coordinate all roles and functions on the analytic team

Now is the time to advance your organization's analytic capability.  Increase your value, position and compensation by developing unique soft skills and analytic leadership traits that are in high demand.

Learn more about The Modeling Agency’s courseware and register for an upcoming event.

Or, test drive with a Live Introductory Webinar 


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