Reducing Financial Fraud with AI and Data Analytics
Learnsignal
Last updated October 5, 2026
Reducing Financial Fraud with AI and Data Analytics is a continuing professional development course from Learnsignal for accountants, auditors, compliance officers and risk specialists who want to detect and prevent fraud using data. It starts with what fraud is, the forms it takes and its effect on organizations, then teaches the use of Excel, Python and SQL to apply descriptive and inferential statistics and basic machine learning models to find anomalies. Case studies and practical exercises lead into prevention strategies and how to report findings to stakeholders. It is a paid course.
What you'll learn
- What fraud is, the forms it takes and how it affects organizations
- Using Excel, Python and SQL for fraud analysis
- Descriptive and inferential statistics for spotting unusual activity
- Building and interpreting basic machine learning models to detect fraud
- Designing fraud prevention strategies
- Reporting findings to stakeholders
Frequently asked questions about Reducing Financial Fraud with AI and Data Analytics
Who is Reducing Financial Fraud with AI and Data Analytics for?
Accountants, auditors, and compliance and risk professionals who want to use data analysis and AI to detect and prevent fraud.
Is Reducing Financial Fraud with AI and Data Analytics free?
No — Reducing Financial Fraud with AI and Data Analytics is a paid course.
What are the prerequisites for Reducing Financial Fraud with AI and Data Analytics?
A basic understanding of accounting principles and of fraud.
Do you need to code for Reducing Financial Fraud with AI and Data Analytics?
Yes — Reducing Financial Fraud with AI and Data Analytics involves hands-on coding.
Does Reducing Financial Fraud with AI and Data Analytics offer a certificate?
Yes. A Learnsignal continuing professional development certificate, issued on completion.
Why we suggest this course
For audit and compliance staff who want to analyze financial data for signs of fraud themselves. The course pairs fraud concepts with the statistical and machine learning methods used to detect it, and continues past detection to prevention and reporting findings to stakeholders. Two things worth knowing: working in Excel, Python and SQL is a core activity, and the provider's page lists its learning outcomes as headings only, so the depth of each topic is not clear before enrolling.