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