Data Analytics and Technology
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Exam Description
The Data Analytics and Technology Exam tests the competencies in the area of Data Analytics in Accounting, data preparation and data sanitization, data modeling and evaluation, using visualizations and summaries to share insights, business intelligence in accounting and auditing, relational databases and data mining, cyber security and big data analysis with python.
Professional Exam Competencies
Identify the characteristics of Data Analytics for Accounting and Identifying the Questions
• Define types of Mastering the Data
• Performing the Test Plan and Analyzing the Results
• Analyze the Communicating Results and Visualizations
• Define how works The Modern Accounting Environment
• Identify the characteristics of Audit Data Analytics
• Analyze the characteristics of Managerial Analytics
• Analyze the characteristics of Financial Statement Analytics
• Analyze the characteristics Tax Analytics
• Recognize the ways to analyze data to produce information for reports using tools
• Identify tools more used for Data Analytics and the main features of: Power Bi, Tableau, R
programming, Python, Google Data Studio, considering Artificial Intelligence (AI), Machine
Learning (ML) and SQL (Structure Query Language)
• Identify some uses for Accountants of Data Analysis, dashboards
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Content
Chapter 1: Data Analytics for Accounting and Identifying the Questions
Chapter 2: Mastering the Data
Chapter 3: Performing the Test Plan and Analyzing the Results
Chapter 4: Communicating Results and Visualizations
Chapter 5: The Modern Accounting Environment
Chapter 6: Audit Data Analytics
Chapter 7: Managerial Analytics
Chapter 8: Financial Statement Analytics
Chapter 9: Tax Analytics
Chapter 10: Project
