Fraud and anomaly detection - Presciient

Fraud and anomaly detection

New course information coming soon.

Who should attend?

This course is suitable for all practitioners in fraud detection, law enforcement, security, compliance, insurance, audit and the finance function seeking an introduction and hands-on experience with data analysis techniques.

It is also perfect for IT and data analytics practitioners seeking to add fraud detection capability to their existing analytics skill set.

Course instructor

The course will be instructed by Presciient managing director Dr Eugene Dubossarsky. Eugene is a founder and Fellow of the Institute of Analytics Professionals of Australia (IAPA); Director, University of New South Wales School of Mathematics and Statistics Industry Advisory Board; and a recognised industry leader in Business Analytics. Eugene is an experienced, professional data miner of 20 years’ experience programming in R and its parent language, S.

Prerequisites

Attendees are recommended to have completed Presciient’s Introduction to R two-day course, or equivalent.

Be the first to know about new courses in your city

Be the first to know about new courses in your city

Signing up to email updates from Presciient helps us know where people are looking for our courses. And when we’ve got something new in your city, you’ll be the first to know!

You have successfully subscribed!