Data Based Decision Making

Catalog description

Prepares students to use data-oriented approaches when making decisions. Students will develop skills in the following areas: (1) extracting, transforming, and loading data (ETL), (2) using the appropriate statistical method and software to analyze data, (3) interpreting and communicating data-driven results to stakeholders, and (4) understanding the abilities and limitations of data when answering stakeholder-relevant questions. While the software (e.g., Microsoft Excel, SAS) and analytical approaches (e.g., visualization, univariate statistics, multivariate regression) we use in this course are relevant to a multitude of professions, the specific data and contexts we study revolve around business and accounting topics, such as measuring and benchmarking firm performance, assessing firms' risk of fraud and/or distress, and using patterns or irregularities in firm data to inform decisions. Graded on A-F basis only. Credit Hour s : 3 Prerequisites: STAT 2500 and STAT 3500 (or the equivalent)