Prescriptive Analytics Training in Beijing Chaoyang
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 Beijing Chaoyang or in NobleProg corporate training centers in Beijing Chaoyang.
Between the China International Trade Center and the Kerry Centre, it is backed by the International Trade Center and is acro...
Between the China International Trade Center and the Kerry Centre, it is backed by the International Trade Center and is across the street from Kerry Apartments, with a total construction area of 32,000 square meters.
Peripheral package
Shopping mall: Beijing Guomao Mall flagship store, Wanda New World Mall, Guiyou Shopping Mall
Bank: Guangfa Bank International Trade Branch, Huaxia Bank Jingguang Sub-branch, Industrial Bank Guanghua Road Sub-branch, Huaxia Bank Guanghua Sub-branch, CITIC Bank Wealth Center Branch
Hotel: Liandu Business Hotel, Home Inn, Jianguo Hotel, Wanda Sofitel Hotel, Jinglun Hotel, Beijing Bohao Ruiting Hotel, Beijing Kerry Hotel, Millennium Hotel
Catering: Grandma's Kitchen, Xiaowangfu, Ganges Indian Restaurant, Shijiao Guoguomen Restaurant, etc.
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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