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Be Fearless in Accounting: Catch Fraud with Data Science by SEKAEL
Be Fearless in Accounting: Catch Fraud with Data Science
Stop being a data entry clerk and become a fraud detective. This guide teaches you the "Data Science Basics" to help you spot errors, catch fraud, and become an irreplaceable human expert. It's designed for accounting professionals who want to learn to adapt, not be replaced by AI. This system is designed for individuals who are not data scientists and focuses on simple, intuitive concepts. If you can find an average and perform basic subtraction and division, you have all the skills you need.
What's Included in the Toolkit:
1. A Guide to Data Science Basics (PDF): Learn to look at a list of expenses, find the "normal range," and use a simple Z-Score calculation to identify high-risk anomalies that need to be investigated.
2. Interactive Terminology Quiz (HTML): A quiz to test your knowledge of key data science and fraud detection terms.
3. Interactive Math Quiz (HTML): A quiz focused on the practical, simple calculations used to spot anomalies and protect a business.
4. Accounting Karaoke System (HTML): An interactive web player with original songs to help you remember the core concepts of data analysis and fraud detection.
What You'll Learn:
1. How to look at a list of expenses and find the "normal range."
2. How to use a simple Z-Score calculation to identify high-risk anomalies.
3. The human-led analysis skills that AI cannot replicate. How to stop just recording data and start protecting the business.
This System is Designed For:
1. Accounting professionals worried about their repetitive tasks being replaced by AI.
2. Data entry clerks who want to evolve their skills into analysis.
3. Anyone in finance who wants to learn how to use simple data science concepts to spot errors and catch potential fraud.
This is available for a one-time payment of $12 USD. Immediately after purchase, you will be directed to a page with links to all materials, which work on any mobile device, tablet, or desktop.
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