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 Osaka or in NobleProg corporate training centers in Osaka.
Osaka's Kokusai Centre is on the top floor of a 31-storey landmark building in Honmachi within the city's main business distr...
Osaka's Kokusai Centre is on the top floor of a 31-storey landmark building in Honmachi within the city's main business district. This centre features wide windows letting in lots of natural light. Osaka is an attractive choice for foreign enterprises seeking to enter the Japanese market, particularly in the service and IT sectors. The Kansai region is home to top global companies from the electrical equipment, chemical, food, pharmaceutical, and finance industries. In recent years, leading companies in the environmental and energy industries have set up business bases here and the Kansai region is a centre for battery production. The centre is highly accessible as it's just five minutes' walk from both Honmachi subway station and Osaka/Umeda station and Shinsaibashi/Namba station, as well as being less than 40 minutes from either Osaka International Airport or Kansai International Airport. The centre is close to many local amenities including restaurants and hotels.
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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