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Data Analysis in Decision-Making

Description

This course focuses on data-driven models used in strategic and operational-level decision-making. Fundamental methods in probability and statistics are reviewed including confidence intervals, hypothesis testing, and tests of independence. More advanced methods in regression, correlation, goodness-of-fit and forecasting techniques are also included. Special attention is given to the presentation and interpretation of statistical analyses. Inferences made based on sample statistics and the limits of statistical tools used in practice are also explored. Statistical methods are taught in the context of decision-making within human resources, marketing, operations management, finance, and other management applications.

Note: Check with the institution regarding start/end dates, prices, and delivery method. These may vary according to program, section, and/or semester.
 

Overview

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Disclaimer:
Check with the institution regarding start/end dates, prices, and delivery method. These may vary according to program, section, and/or semester.