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. Faro onsite live Prescriptive Analytics trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
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Hotel Faro & Beach Club
2, Praça Dom Francisco Gomes 2, 8000-168 Faro, Faro, Portugal, 8000-168 Faro
Situated in the middle of the city center of Faro, Hotel Faro offers stunning views of Ria Formosa and on the historic area, ...
Situated in the middle of the city center of Faro, Hotel Faro offers stunning views of Ria Formosa and on the historic area, being the ideal place for holidays and business. The proximity to Faro International Airport, privileged access to the best beaches in the Algarve and all the services you have in your involvement, make Hotel Faro the perfect choice for your stay. This modern 4-star hotel offers 90 cozy and sophisticated rooms (including 3 suites), a magnificent rooftop with panoramic views of the city where the restaurant are located, the bar and a heated hydrotherapeutic pool. Hotel Faro also offers garage, GYM & Dayspa, 4 multifunctional rooms and a beach club situated on the island of Faro. At the beach season, the offer also includes a daily transfer service to the Beach Club and boating from Ria Formosa, considered one of the 7 wonders of Portugal.
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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