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 Toulouse or in NobleProg corporate training centers in Toulouse.
NobleProg -- Your Local Training Provider
Toulouse, City Center
Mutliburo Toulouse, 9 Rue de Sébastopol, Toulouse, france, 31000
The business center is located in the Compans business district on the edge of Compans Caffarelli Park, which extends over...
The business center is located in the Compans business district on the edge of Compans Caffarelli Park, which extends over 10 hectares.
Many businesses have settled in this area, attracted both by the situation between the historic heart and the ring road that leads to the airport and the modernity of the site. Note the proximity of the conference center of Toulouse.
The business center offers its fully equipped offices and 2 meeting rooms to organize trainings and business meetings. All rooms are air-conditioned. Your visitors will be welcomed by our teams who will organize your day (preparation of rooms, internet connections, coffee break, catering, secretarial, hotel booking
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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