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. Oeiras onsite live Prescriptive Analytics trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
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Hotel Real Oeiras
nº5, R. Álvaro Rodrigues de Azevedo nº 5, 2770-197 Paço de Arcos, Paço de Arcos, Portugal, 2770-197 Paço de Arcos
With a privileged location near the business hubs of Oeiras, such as Lagoas Park, Tagus Park, and Quinta da Fonte, the Hotel ...
With a privileged location near the business hubs of Oeiras, such as Lagoas Park, Tagus Park, and Quinta da Fonte, the Hotel Real Oeiras is a 4-star hotel that offers all the conditions to organize all types of meetings and social events.
Whether it’s a business meeting, a congress, a business event, a social event, a dinner or a private lunch, a marriage, a baptism, an anniversary party or even if it’s an amusing child anniversary, the 8 multipurpose rooms are the ideal option.
With every room having natural light and direct access to the outdoor swimming pool and to the surrounding green areas, this hotel is the perfect choice to make your event memorable.
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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