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AI Series - Leveraging AI for Data Analysis and Reporting (Course Id 2278)

QAS / Registry
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Author:

Kelen Camehl, CPA, MBA

Course Length:

Pages: 20 ||| Word Count: 6019 ||| Review Questions: 5 ||| Final Exam Questions: 5

CPE Credits:

1.0

IRS Credits:

0

Price:

$12.95

Passing Score:

70%

Course Type:

Text
AI Series - Leveraging AI for Data Analysis and Reporting - CPE course for CPAs

Technical Designation:

Technical

Field Of Study:

Specialized Knowledge

Approved Audience:

NASBA QAS - NASBA Registry

Key Takeaways:

This course explains how AI can automate and enhance data analysis and reporting processes in accounting.

  • Covers the automation of data extraction, cleansing, and normalization processes.
  • Explains how AI facilitates automated financial analysis and forecasting.
  • Addresses how AI generates actionable insights from financial data to aid strategic planning.
  • Worth 1.0 CPE credit in Computer Software and Applications as a self study text course on leveraging AI for data analysis and reporting, requiring a 5 question final exam preceded by 5 review questions (optional) and a 70% passing score.

Frequently Asked Questions:

This course identifies AI tools such as OCR and NLP used for data extraction.

This course recognizes AI algorithms used for data cleansing before analysis.

This course identifies AI driven forecasting techniques used to produce accurate predictions.

AI Series Leveraging AI for Data Analysis and Reporting is a Technical, self study text course in Specialized Knowledge worth 1.0 CPE credit, requiring a 5 question final exam preceded by 5 review questions (optional) at a 70% passing score. CPEthink is approved by NASBA as a CPE sponsor and lists this course on the NASBA site as a courtesy for CPAs to search https://nasba.org.

Description:

This course provides an overview of leveraging AI for data analysis and reporting in accounting.  It covers the automation of data extraction, cleansing, and normalization processes as well as how AI facilitates automated financial analysis and forecasting.  This course also addresses how AI generates actionable insights from financial data which aids in strategic planning. 

Usage Rank:

26818

Release:

2024

Version:

1.0

Prerequisites:

None.

Experience Level:

Overview

Additional Contents:

Complete, no additional material needed.

Additional Links:

Advance Preparation:

None.

Delivery Method:

QAS Self Study

Intended Participants:

Anyone needing Continuing Professional Education (CPE).

Revision Date:

04-Jun-2026

NASBA Course Declaration:

Participants must complete the final examination within one year of purchase and with a minimum passing grade of 70% or better to receive CPE credit unless otherwise noted on the Course History page (i.e. California Ethics must score 90% or better). After logging in click on the Course History links on your My Courses page for the Begin date and Expire date for the Final Exam.

Keywords:

AI Series - Leveraging AI for Data Analysis and Reporting - CPE course for CPAs

Learning Objectives:


Course Learning Objectives

Upon completion of this course, you will be able to:
  • Identify AI tools like OCR and NLP for data extraction
  • Recognize AI algorithms for data cleansing
  • Identify data normalization and AI techniques
  • Identify AI-driven forecasting techniques for accurate predictions


Course Contents:

Chapter 1 - AI Series - Leveraging AI for Data Analysis and Reporting

Course Learning Objectives

Course Overview

Introduction

Using AI for Data Extraction, Cleansing, and Normalization

Data Extraction

Data Cleansing

Review Questions

Data Normalization

Automated Financial Analysis and Forecasting with AI

Financial Analysis

Financial Forecasting

Generating Insights from Financial Data using AI Algorithms

Enhancing Reporting Capabilities with AI-Powered Tools

Conclusion

Review Questions

Glossary of Key Terms

Click to go to: Artificial Intelligence (AI) CPE Courses for CPAs | CPEthink
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