ACC 225 - Introduction to Accounting Analytics & Programming

3 Contact Hours, 3 Credits
3 lecture periods 0 lab periods

Foundational tools and techniques essential for extracting business intelligence from raw data. Focus on the transition from spreadsheet-based reporting to advanced programming workflows basics in industry critical environments. Also includes the complete analytical pipeline, covering data import, exploratory data analysis, descriptive and basic inferential statistics, and data visualizations to inform managerial and accounting decisions.

Prerequisite(s): CSA 110
Information: Prerequisite may be waived with consent of instructor.

Course Learning Outcomes

Differentiate between core data analytics concepts, terminology, and the role of programming languages in the business analysis workflow.
Apply data exploration and manipulation techniques using industry software to prepare business data for analysis.
Implement statistical and analytical functions using foundational industry software libraries to analyze large business datasets.
Construct basic scripts in industry software to automate repetitive data processing tasks and generate analytical visualizations.
Produce Data visualizations in industry software to inform data driven managerial decisions.

Outline:

Foundations and Tool Setup
1. Foundations of Business Analytics
2. Tool Synergy and Setup
Data Manipulation and Visualization
1. Data Acquisition and Structuring
2. Advanced Data Manipulation
3. Visualization and Dashboards
Data Analysis
1. Introduction and Data Structures
2. Numerical Computing
3. Data Wrangling