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 Chengdu can be carried out locally on customer premises or in NobleProg corporate training centers.
The Chengdu Times Plaza Centre is located in one of the most prestigious buildings in the central business district of Chengd...
The Chengdu Times Plaza Centre is located in one of the most prestigious buildings in the central business district of Chengdu. Home to several Fortune 500 companies working in banking, IT and electronics, car manufacturing and construction, the building is also well located for public transport, hotels and retail outlets. Like the building, the surrounding area is a hub for some of the world's largest corporations with Chengdu's international profile continuing to rise. This is due to the government's promotion of the region in China's Go West policy, which is devoted to stimulating economic activity in western China. The city is rapidly becoming the main financial district in western China. Many hi-tech companies have also begun to settle in Chengdu.
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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