Online or onsite, instructor-led live Prescriptive Analytics training courses are aimed at business analysts and Business Intelligence (BI) teams .
Prescriptive Analytics training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Prescriptive Analytics training can be carried out locally on customer premises in Georgia or in NobleProg corporate training centers in Georgia.
NobleProg -- Your Local Training Provider
AL, Birmingham - Perimeter Park
One Perimeter Park South Suite 100 N, Birmingham, united states, 35243
The Perimeter Park office space in Birmingham, Alabama has a new look since being remodeled with modern, relaxing decor. In t...
The Perimeter Park office space in Birmingham, Alabama has a new look since being remodeled with modern, relaxing decor. In the convenient first floor office space, Perimeter Park Center prides itself on award-winning customer service. Located on Highway 280 off Interstate I-459, the center is only 13 miles away from Birmingham International Airport. Surrounded with hotels, restaurants, upscale shops, as well as an excellent gym, the center is sure to provide for all our customers needs.
AL, Birmingham, Chase Corporate Dr Suite 400
Chase Corporate Dr Suite 400, Birmingham, united states, 35244
The venue is located just off of Montgomery Highway just down the road from the Courtyard by Marriott Birmingham Hoover.
Prescriptive analytics is a branch of business analytics, together with descriptive and predictive analytics. It uses predictive models to suggest actions to take for optimal outcomes, relying on optimization and rules-based techniques as a basis for decision making.
In this instructor-led, live training, participants will learn how to use Matlab to carry out prescriptive analytics on a set of sample data.
By the end of this training, participants will be able to:
Understand the key concepts and frameworks used in prescriptive analytics
Use MATLAB and its toolboxes to acquire, clean and explore data
Use rules-based techniques including inference engines, scorecards, and decision trees to make decisions based on different business scenarios
Use Monte Carlo simulation to analyze uncertainties and ensure sound decision making
Deploy predictive and prescriptive models to enterprise systems
Audience
Business analysts
Operations planners
Functional managers
BI (Business Intelligence) team members
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
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