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 trainings in Brisbane can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
200 Mary Street, Brisbane
Level 16, 200 Mary Street, Brisbane, Australia, 4000
The 200 Mary Street business centre is located only 125 metres from the Brisbane GPO, strategically located within Brisbaneâ€...
The 200 Mary Street business centre is located only 125 metres from the Brisbane GPO, strategically located within Brisbane’s premier financial district known as ‘the Golden Triangle’. Situated on Level 16 and boasting views over the Brisbane River, hinterland and the CBD, the centre provides the ideal setting to showcase your business in a contemporary environment with fully-equipped work space.
200 Mary Street is immersed in Brisbane’s city life with everything at your doorstep, from key transport links to restaurants and bar as well as hotels. The centre is serviced by the City Cat service and Central Train Station, which is less than five minutes walk.
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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