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 Nantes or in NobleProg corporate training centers in Nantes.
NobleProg -- Your Local Training Provider
Nantes, Zenith
NobleProg Nantes, 4 rue Edith Piaf, Saint-Herblain, france, 44821
In the Parc d'Ar Mor zone, near the Zénith.
Car : from the ring road, Porte de Chézine Exit> Boulevard du Zenit...
In the Parc d'Ar Mor zone, near the Zénith.
Car : from the ring road, Porte de Chézine Exit> Boulevard du Zenith > Esplanade Georges Brassens (restaurants) > Rue Edith Piaf on the right. From the N444 road (Nantes > Lorient), Exit #1 > boulevard Marcel Paul > Rue Edith Piaf at the right.
Parking Zénith P1 (free). Once parked, you can recognize the building: it's one of the tree bulding with zinc frontage.
Bicycle: free indoor parking
Public transport :
Tramway R1, Schoelcher station + 10 mn by foot through commercial center Atlantis
Tramway R1, François Mitterrand stop + bus 50, stop at Saulzaie station or bus 71, stop at the Zénith station
Tramway R3, Marcel Paul station + bus 50, Saulzaie station
Chronobus C6, Hermeland station+ bus 71, Zénith station
Bus : lignes 50 (Saulzaie station) or 71 (Zénith station)
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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