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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: | NASBA QAS - Text - NASBA Registry |
| Technical Designation: | Technical |
| Primary Subject-Field Of Study: | Specialized Knowledge - Specialized Knowledge for Course Id 2278 |
| Overview : | |
| 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 : | 25385 |
| Release : | 2024 |
| Version : | 1.0 |
| Prerequisites : | None. |
| Experience Level : | Overview |
| Additional Contents : | Complete, no additional material needed. |
| Additional Links : |
Artificial Intelligence (AI): What It Is and How It Is Used
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| Advance Preparation : | None. |
| Delivery Method : | QAS Self Study |
| Intended Participants : | Anyone needing Continuing Professional Education (CPE). |
| Revision Date : | 14-May-2024 |
| 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. |
| Approved Audience : | NASBA QAS - Text - NASBA Registry - 2278 |
| Keywords : | Specialized Knowledge, AI, Series, Leveraging, AI, Data, Analysis, Reporting, CPAs, cpe, cpa, online course |
| Learning Objectives : |
Course Learning Objectives Upon completion of this course, you will be able to:
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| 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 |
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