
Intermediate

CPE Credits
3 Credits: Auditing
Course 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 the field of auditing, where internal and external auditors are increasingly turning to data analytics to identify situations requiring follow-up and investigation. Those who understand how to take advantage of various tools that are available to them to assist in these efforts benefit by conducting more thorough analysis and achieving superior results in less time.
In this session, you will learn about various tools and techniques you can use for more thorough analyses of data. Included in the discussion are Excel, various 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!
Learning Objectives
Upon completing this course, you should be able to:
- List the four types of data analytics and identify solutions in which each can be useful in auditing environments
- Identify opportunities to use features in Excel to analyze data in the context of auditing
- Distinguish between Business Intelligence and Data Analytics
- Differentiate between correlation and causation
- Cite examples of how Power Query, Power BI, and other tools can streamline and enhance your analytical efforts
Course Specifics
Course ID 22CCostaRica-LE22C281899 |
Prerequisites None |
Advanced Preparation None |
Compliance information
Course Instructor

K2’s goal is to produce and deliver the highest quality technology seminars and conferences available to business professionals. We make every effort to maintain a high level of integrity, family values, and friendship among all involved. Instructors: Randolph P. (Randy) Johnston, MCS Thomas G. (Tommy) Stephens, Jr., CPA, CITP, CGMA Val D. Steed, CPA, CITP, MA Brian F. Tankersley, CPA, CGMA, CITP Lawrence A. (Mac) McClelland, MBA, JD Ward Blatch
K2's Data Analytics for Accountants And Auditors
$856.00
Availability: 24 in stock

Intermediate

CPE Credits
3 Credits: Auditing
Course 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 the field of auditing, where internal and external auditors are increasingly turning to data analytics to identify situations requiring follow-up and investigation. Those who understand how to take advantage of various tools that are available to them to assist in these efforts benefit by conducting more thorough analysis and achieving superior results in less time.
In this session, you will learn about various tools and techniques you can use for more thorough analyses of data. Included in the discussion are Excel, various 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!
Learning Objectives
Upon completing this course, you should be able to:
- List the four types of data analytics and identify solutions in which each can be useful in auditing environments
- Identify opportunities to use features in Excel to analyze data in the context of auditing
- Distinguish between Business Intelligence and Data Analytics
- Differentiate between correlation and causation
- Cite examples of how Power Query, Power BI, and other tools can streamline and enhance your analytical efforts
Course Specifics
Course ID 22CCostaRica-LE22C281899 |
Prerequisites None |
Advanced Preparation None |
Compliance information
Course Instructor

K2’s goal is to produce and deliver the highest quality technology seminars and conferences available to business professionals. We make every effort to maintain a high level of integrity, family values, and friendship among all involved. Instructors: Randolph P. (Randy) Johnston, MCS Thomas G. (Tommy) Stephens, Jr., CPA, CITP, CGMA Val D. Steed, CPA, CITP, MA Brian F. Tankersley, CPA, CGMA, CITP Lawrence A. (Mac) McClelland, MBA, JD Ward Blatch