Fraud Analytics: Using the Power of Data in Fraud Detection and Investigations
In the wake of big data, investigators now have access to an unprecedented amount of information. Although advanced techniques and models in fraud analytics are gaining traction, they are not yet available to everyone. However, there are basic steps that all investigators and auditors can employ. In this course you will learn about basic analytics approaches using simple programs like Excel, JMP or Tableau. You will learn through examples of visualizations, statistics and risk analysis approaches to better understand data and identify areas of risk or potential fraud. This framework will provide insight into organization, cleansing/review, visualization and analysis of available data, while optimizing existing resources.
Knowledge of and experience with the principles behind financial investigations and basic computer analysis software (i.e. excel, JMP, Tableau)
|CPE Credit:||1.5 Credits|
|NASBA Information:||Information Technology|
|Last Updated:||February 2021|
|Delivery Method:||QAS Self-Study|
Erik Halvorson - Speaker
U.S Department of Energy Office of Inspector General
Please note: To be eligible for CPE credit, you must complete the final exam within one year of purchase date. You may only claim CPE credit for a course once.
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The Association of Certified Fraud Examiners, Inc. is registered with the National Association of State Boards of Accountancy (NASBA) as a sponsor of continuing professional education on the National Registry of CPE Sponsors. State boards of accountancy have final authority on the acceptance of individual courses for CPE credit. Complaints regarding registered sponsors may be submitted to the National Registry of CPE Sponsors through its website: www.nasbaregistry.org/.
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