Decision school training courses in Elizabeth, NJ (public, in-house or online)

This course categorizes problem solving and decision making into operational and strategic components, examines their different features, and provides logic for achieving solutions. Development of a culture of problem solving is illustrated and encouraged through an emphasis on diagnostic questions, informed empirical induction, and analysis of group setting

Applied Managerial Statistics stresses the practical use of statistics in collecting, organizing, analyzing, interpreting, and presenting data. Areas covered include descriptive statistics, inferential statistics, regression analysis, and time series analysis. Attention is devoted to the use of statistical thinking in improving the managerial decision making process.

This course focuses on the use and application of information systems to support the decision-making process. Knowledge-based systems, neural networks, expert systems, electronic meeting systems, group systems and web-based systems are discussed as a basis for designing and developing highly effective decision support systems. Data models, interactive processes, knowledge-based approaches and integration with database systems are also described. Theoretical concepts are applied to real-world app...

Full archival course description>>

The course examines intermediate-level price theory and surveys applications to public sector decision making. Topics include demand, supply, behavior of the market, and introductory welfare economics. Applications include forecasting, benefit-cost analysis, input-output analysis, and economic modeling.

This course, designed for individuals on the implementation team responsible for RTD installation and administration, enables participants to perform tasks required to successfully configure and deploy RTD with their operational applications. Participants learn about various aspects of integration between RTD and target applications, including Siebel Call Center and E-Commerce, and are prepared to engage on RTD deployment projects at all levels of the project lifecycle, from gathering requiremen...

Full archival course description>>