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Data Analytics for Accountants

Original price was: $1,400.00.Current price is: $999.00.

Data Analytics for Accountants

The main topic of our course is how Data Analytics is changing the business world. In the past, accountants relied on manual processes to manage financial data. However, in today’s digital age, data analytics is quickly becoming a requirement for accountants. We will discuss how data analytics is changing the accounting industry, including identifying trends, predicting future outcomes, and optimizing decision-making processes.

Our comprehensive course is designed to prepare accounting students with the necessary tools and skills they need to successfully perform data analytics. You will learn a conceptual framework using the IMPACT model, which includes identifying the business problem, managing the data, preparing the data, analyzing the data, communicating insights, and taking action.

Don’t miss out on this opportunity to prepare yourself for the future of the accounting profession. Sign up for Data Analytics for Accountants course today offered by RPA Canada.

This course will also prepare you for RPA Canada’s Mandatory Professional Examination MPE-4 “Data Analytics and Technology.”

Once registered you have one year of access.

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Description

CLICK Course Highlights

 

In this course, you will learn how to:
• 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

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