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 Guangzhou or in NobleProg corporate training centers in Guangzhou.
NobleProg -- Your Local Training Provider
Guangdong - Guangdong International Building
7/F, 7/F, International Building, No. 339 Huanshi East Road, Yuexiu District, Guangzhou, China, 510098
The office space is located in the heart of Huan Shi Road East CBD in Guangzhou. Guangdong International Building is part of ...
The office space is located in the heart of Huan Shi Road East CBD in Guangzhou. Guangdong International Building is part of a large integrated development including the five-star hotel Crown Plaza, Grade A office space and serviced apartments. The office space is in close proximity to Guangdong TV Building, the Huanghuagang Theatre and the Garden and Baiyun Hotels. Other amenities nearby include large malls and shopping centres, banks, restaurants, etc. With easy access to many means of public transportation including metro, taxi and bus, the office space has excellent connections to other districts and facilities in Guangzhou as well as the international airport. Guangdong International Building is home to many foreign consulates and trade and sourcing companies as well as many financial services firms.
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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