Decision school training courses in Birmingham, AL (public, in-house or online)

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...

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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...

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To learn data mining and decision support fundamentals and techniques.

�To understand data collection, cleaning and aggregation issues.

�To construct meaningful multi-dimensional models.

�To investigate data warehousing issues.

�To utilize a data mining query language.

�To learn statistical techniques for analyzing data.

�To utilize decision trees in data analysis.

�To investigate cluster analysis.





Measurable Le...

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