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. Sintra onsite live Prescriptive Analytics trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
Located in broad Várzea de Sintra, surrounded by green areas and with a breathtaking view of the Pena Palace, the Vila Galé...
Located in broad Várzea de Sintra, surrounded by green areas and with a breathtaking view of the Pena Palace, the Vila Galé Sintra Resort Hotel, Conference & Spa hotel has the ideal space for your business meetings. Having you and your company in mind, it offers rooms for meetings, congresses or team building actions, but also adaptable to other event types. We have the right solutions to provide memorable moments.
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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