K2's Data Analytics For Accountants And Auditors

K2's Data Analytics For Accountants And Auditors

K2’s Data Analytics For Accountants And Auditors

Information Technology
4 CPE Credits
Course - K2's Data Analytics For Accountants And Auditors
23s-daa-4
In-Person, Webinar
Live
Intermediate
200 Minutes
Topics Learning Objectives Description Compliance

Major Topics

  • Understanding the importance of data analytics in modern business environments
  • Generating and interpreting data analytics using everyday applications such as Microsoft Office Excel and Microsoft’s Power BI platform
  • Using regression analysis to create and validate forecasts and projections

Learning Objectives

  1. List the four types of data analytics and identify situations in which each can be useful in auditing environments
  2. Identify opportunities to use features in Excel to analyze data in the context of auditing
  3. Distinguish between Business Intelligence and Data Analytics
  4. Differentiate between correlation and causation
  5. Cite examples of how Power Query, Power BI, and other tools can streamline and enhance Data Analytics

Description

In the world of “Big Data,” virtually all business professionals have become data analysts, at least to some extent. However, that is particularly true in auditing, where internal and external auditors increasingly turn to data analytics to identify situations requiring follow-up and investigation. Those who understand how to use various tools to assist in these efforts benefit by conducting more thorough analyses and achieving superior results in less time.

In this session, you will learn about various tools and techniques you can use for more thorough data analyses. The discussion includes Excel as a data analysis tool, multiple Excel add-ins, and Microsoft’s Power BI application. If you’re seeking to improve your skills in the field of data analytics, this session is the one for you!

Compliance Information

Practitioners and business executives who need to know more about data analytics and their importance None Information Technology 4 Credits November 2, 2022
Topics

Overview

In the world of “Big Data,” virtually all business professionals have become data analysts, at least to some extent. However, that is particularly true in auditing, where internal and external auditors increasingly turn to data analytics to identify situations requiring follow-up and investigation. Those who understand how to use various tools to assist in these efforts benefit by conducting more thorough analyses and achieving superior results in less time.

In this session, you will learn about various tools and techniques you can use for more thorough data analyses. The discussion includes Excel as a data analysis tool, multiple Excel add-ins, and Microsoft’s Power BI application. If you’re seeking to improve your skills in the field of data analytics, this session is the one for you!

Course Details

  • Best practices associated with creating Excel workbooks, including managing workbooks
  • How to secure Excel workbooks
  • Collaboration options and best practices in Excel
  • Effective reporting techniques in Excel

  1. List critical spreadsheet design fundamentals
  2. Identify techniques used to minimize data input errors
  3. Utilize Excel’s Table feature as a foundational component of spreadsheets
  4. Identify and implement three different methods for consolidating data
  5. Utilize various Excel features, such as Go To Special, to solve specific spreadsheet issues
  6. List and apply four techniques for sharing an Excel workbook and collaborating with others
  7. Implement different practices for auditing and error-checking Excel workbooks, including Trace Precedents, Trace Dependents, and Formula Auditing
  8. Identify the advantages of working with Defined Names in Excel
  9. List and apply six techniques for securing Excel data

Intended Audience — Excel users who want to learn best practices for working with spreadsheets

Advanced Preparation — None

Field of Study — Computer Software and Applications

Credits — 8 Credits

IRS Program Number –

Published Date – November 2, 2022

Revision Date –

Course Authors

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