Register for both courses together to earn additional CPE credits and save $100! Register now
Using Data Analytics to Detect Fraud | March 20, 2013
Using Data Analytics to Detect Fraud will introduce students to basic data analysis techniques as part of your fraud investigation. Taking a software-independent approach, this one-day course provides attendees with numerous data analytics tests that can be used to detect various fraud schemes. Attendees will also discover how to examine and interpret the results of those tests to identify the red flags of fraud.
View Course Details
Financial Statement Fraud | March 21-22, 2013
The complexity of financial statement fraud has received considerable attention over the past few years and will continue to cause concern. This course is designed for those who regularly review and evaluate financial statements. Auditors, both internal and independent, will benefit from an enhanced understanding of what the numbers mean and the increased ability to detect indicators of fraud.
This two-day, instructor-led course also discusses the fraud-related responsibilities of financial professionals and provides you with practical techniques to detect financial statement manipulation.
View Course Details
Venue Information
Executive Conference Center
8655 W. Higgins Rd
Chicago, IL 60631
Venue Phone: +1 (773) 693-5511
Hotel Information
Chicago Marriott O'Hare
8535 W. Higgins Rd
Chicago, IL 60631
Hotel Phone: +1 (800) 228-9290 or +1 (773) 693-444
Room Rate: $160 standard*
Hotel Cut-Off: February 27, 2013
Registration & Fees - Combo Event*
ACFE Members: $890
Non-Members: $1,140
Register by February 21, 2013 to save an additional $95!
To register for these courses separately, please visit the individual event pages for Using Data Analytics to Detect Fraud or Financial Statement Fraud.
*By registering for this event, I grant the ACFE or anyone authorized by the ACFE, the right to use or publish in print or electronic format, any photographs or video containing my image or likeness for any promotional purpose, without compensation.