Description
This course will be an overview of:
- How the increase in data and data analysis tools are changing the skills needed in the accounting profession.
- How to apply the business analytics cycle to identify questions, identify and prepare data, perform analyses, and communicate results.
- How descriptive, predictive, and prescriptive analytics are used in business.
- How decision-making can be enhanced using data analytics in auditing, financial, managerial, and tax accounting.
After completing this course, the learner should be able to:
- Define data and analytics in the accounting profession and identify how the accounting profession skill set is evolving.
- Define data sources, metrics and measurements scales and identify methods for data preparation and transformation.
- Describe the data analysis strategy and the steps needed in each phase.
- Explain how decision-making can be enhanced using data analytics in auditing, financial/managerial, and tax areas of accounting.
- Identify risk considerations in data analytics and describe methods to address those risks.
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