ACC 263 - Data Analytics and Statistics in Accounting

Course Description

Effective: 2019-01-01

Introduces the field of business analytics in accounting, finance, and business management. Focuses on the way in which enterprises such as corporations, non-profits, and governments can use data to gain insights and make better decisions. Presents the application of selected data mining techniques to support business analytics.
Lecture 3 hours. Total 3 hours per week.
3 credits

General Course Purpose

Analytics has been defined as extensive use of data, statistical and quantitative analysis, exploratory and predictive models, and fact-based management to drive outcomes and decisions. Analytics is not only analytical methodologies and techniques used logical analysis, but also a process of transforming data into actions through analysis and insights in the context of organizational decisions making, problem solving and judgment. Analytics include a range of activities, such as standard and ad hoc reports, queries, and alerts, and quantitative models. These quantitative models include statistical analysis,forecasting/extrapolation, predictive modeling, optimization, and simulation.

Course Prerequisites/Corequisites

Prerequisite: ACC 212

Course Objectives

Major Topics to be Included

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