ACC 221 - Advanced Data Analytics in Accounting

Credits: 3
Instructional Contact Hours: 3

Extends data analysis concepts and their relevance in accounting. Includes the use of an advanced data analysis platform with the emphasis on presenting the results using predictive modeling.

Prerequisite(s): ACC 220 with a “C” or better.
Corequisite(s): None.
Lecture Hours: 45 Lab Hours: 0
Meets MTA Requirement: None
Pass/NoCredit: Yes

Outcomes and Objectives

Use data analysis tools (software) effectively.
1. Use electronic spreadsheets, databases, or other current data software effectively.
2. Create interactive visualizations of data information.
3. Use an advanced data analysis application.
Develop Predictive modeling graphics addressing accounting information.
1. Create interactive visualizations of data that have predictive capabilities.
2. Perform predictive information with multiple variables and changing factors.
Communicate Data Visualization results.
1. Explain data visualizations with regard to the related data.
2. Formulate appropriate questions regarding the data visualizations.
3. Answer appropriate questions regarding the data visualizations.
4. Demonstrate the ability to communicate results of data visualizations in an oral or a written format.

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