Data Forensics in Accounting

by Singapore Institute of Technology Claim Listing

The first day of the course aims to build a strong foundation of data analytical skills by reviewing the types of fraud schemes and examples of data analytics tests that can be performed to detect the warning signs of such schemes. The various data analysis techniques that include both supervised an

S$588.6

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Singapore Institute of Technology Logo

img Duration

2 Days

Course Details

The first day of the course aims to build a strong foundation of data analytical skills by reviewing the types of fraud schemes and examples of data analytics tests that can be performed to detect the warning signs of such schemes. The various data analysis techniques that include both supervised and unsupervised learning for fraud or anomaly detection will be covered in detail.

On day two, you will go through experiential learning where you will apply your knowledge of analytical tests, data sources, and fraud schemes to real data sets and scenarios to uncover trends and patterns in the data.

As we are moving towards safeguarding against financial crime, employees equipped with the skills of data analysis and forensics investigation are at the forefront of fighting against financial crime

 

Who Should Attend

  • Junior managers / managers / accountants

  • Executives in the accounting / auditing / finance-related job functions

 

Prerequisites

  • Basic accounting or finance knowledge

 

What You Will Learn

  • Acquire overall concepts of data analysis in detecting fraud

  • Gain knowledge on common detection techniques of fraud

  • Be better equipped to identify irregularities in data trends and data profile

  • Be able to perform quantitative data analysis

  • Central Branch

    10 Dover Drive, Central

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