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CHOOSE THE TRAINING
THAT'S RIGHT FOR YOU
The Modeling Agency's Predictive Analytics & Data Mining
course series is designed to bring you up to speed more effectively,
efficiently and pragmatically than any other program available.
This series presents the topic from two very distinct orientations yet
complementary objectives. Each course within the series may be
attended independently, or in succession for a comprehensive view of
data mining. The tactical course is scheduled first
simply as a suggested pathway to view
the trees before the forest. Both courses are introductory and aggressive.
Refer to the table below to ensure that
your experience, situation and objectives align properly with the
intent, scope and depth of each production:
|
Course |
Focus |
Scope |
CRISP |
Geared To |
PA & DM
Model
Development |
Tactics &
Methods |
A tactical drill-down
of
data mining methods, techniques and
resources |
Sections
3, 4 & 5 |
Business
Analysts,
Functional Analysts,
IT Professionals |
PA & DM
Strategic Implementation |
Strategy &
Application |
A
broad-brushed orientation to project design, best
practices, and hands-on use cases |
Sections
1, 2 & 6 |
Project
Leaders,
Stakeholders,
Functional Managers |
CRISP-DM Model
(CRoss-Industry Standard
Process for Data Mining)
SELECTION CONSIDERATIONS
Only those who are modeling practitioners specifically seeking to extend their
analytical toolbox or enhance model performance should attend the
Model Development course exclusively. All others who are
interested in succeeding at the overall project level should either
attend the full series or the
Strategic Implementation course.
If you can only attend one course, consider the
Strategic
Implementation course. Even though it is second in the
series progression, the Strategic Implementation course has no
prerequisites and covers the most critical and pragmatic aspects of
the data mining process for achieving business impact, while
putting them into practice.
Although the
Model
Development course establishes a solid methodological platform
prior to the Strategic Implementation course, it should be viewed as
the optional course.
If you are uncertain whether to attend the Model Development course,
it is perfectly acceptable to take the Strategic Implementation
course first, then return to a later production of the Model
Development course for a tactical drill-down. There is no
incorrect order to view the trees then forest, or forest then trees.
With modern software effectively automating the
model-building process, the vast majority of data mining projects
fail due to strategic pitfalls. It is far more important to
drive a superior project design with good models than to develop
excellent models that answer the wrong questions, are
uninterpretable, or not ultimately adopted by the environment, users
or leadership.
Two public surveys of data mining practitioners
(as displayed in
"Reason #3" of TMA's article entitled "101
Ways to Sabotage Your Predictive Analytics Project")
underscore that the elusive pitfalls that cause the majority of data
mining projects to fall short of their potential are strategic.
Of course, when time and budget allow, it is
certainly beneficial to obtain the holistic 'trees and forest' view
and gain exposure to all six stages of the data mining process. Feel free to call a TMA training coordinator at
(281) 667-4200 opt. 3 to discuss your role and objectives to ensure
the right course selection for your specific situation.
EARN YOUR CERTIFICATE
Those who attend the full week will be eligible to take a
certification exam. Upon passing the exam, you will achieve
professional certification in Predictive Analytics and Data Mining.
The certification may be referenced in your professional profile,
on-line credentials or your résumé.
>> Proceed
to the Public Course Schedule <<
to view
training dates, site details, pricing and availability.
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