AlphaZetta Academy

Fraud and Anomaly Detection

This course presents statistical, computational and machine-learning techniques for predictive detection of fraud and security breaches. These methods are shown in the context of use cases for their application, and include the extraction of business rules and a framework for the interoperation of human, rule-based, predictive and outlier-detection methods.

Methods presented include predictive tools that do not rely on explicit fraud labels, as well as a range of outlier-detection techniques including unsupervised learning methods, notably the powerful random-forest algorithm, which can be used for all supervised and unsupervised applications, as well as cluster analysis, visualisation and fraud detection based on Benford’s law. The course will also cover the analysis and visualisation of social-network data.

A basic knowledge of R and predictive analytics is advantageous.

See what former trainees are saying about this course.

Early bird pricing is available until 2 weeks prior.

This is an AlphaZetta public course – group discounts are available and also apply during the Early bird period (up to 2 weeks prior): 5% for 2–4 people, 10% for 5–6 people, 15% for 7–8 people, and 20% for 9 or more people. Discounts are calculated during checkout.

Course Booking Terms and Conditions

Additional Information

Audience 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.
Pre-requisites Students should have completed or have equivalent knowledge to the course Intro to Predictive analytics, machine learning, data science and AI and Intro to R (+ Data Visualisation)
Objective Gain insight into statistical, computational and machine-learning techniques for predictive detection of fraud and security breaches.
Format Class
Duration 2 days
Course Author Dr Eugene Dubossarsky
Trainer Courses are taught by Dr Eugene Dubossarsky and/or his hand-picked team of highly skilled instructors.
Delivery Method In-person at AlphaZetta Academy locations or on-premise for corporate groups

Meals and refreshments

Catered morning tea and lunch are provided on both days of the course. Please notify us at least a week ahead if you have any special dietary requirements.

Feedback

Use academy@alphazetta.ai to email us any questions about the course, including requests for more detail, or for specific content you would like to see covered, or queries regarding prerequisites and suitability.

If you would like to attend but for any reason cannot, please also let us know.

Variation

Course material may vary from advertised due to demands and learning pace of attendees. Additional material may be presented, along with or in place of advertised.

Cancellations and refunds

You can get a full refund if you cancel 7 days or more before the course starts. No refunds will be issued for cancellations made less than 7 days before the course starts.

Frequently asked questions (FAQ)

Do I need to bring my own computer?

There’s no need to bring your own laptop or PC. Our courses take place in modern, professional training facilities that have all the computing equipment you’ll need.

Private and Corporate Courses

In addition to our public courses, AlphaZetta Academy can provide this course for your organisation in a private setting at your location or ours. Please enquire to discuss your needs.

Enquire Now

Testimonials

Eugene’s fraud and anomaly detection course is extremely valuable for anyone wishing to learn more about fraud detection using analytical techniques. Eugene’s ability to cater and tailor the course for all levels of experience is fantastic and much appreciated.

The Data Analytics for Fraud and Anomaly Detection in Forensics and Security course is brilliant. By the end of the course you will walk away with tools and statistical modelling techniques you can implement in your everyday business. Best of all because Eugene is able to explain complex statistical models in plain English you will have an understanding of how to implement these models successfully.

Alix Duncan

Scheduled Public Courses – BOOK NOW!

Fraud and Anomaly Detection – Hong Kong

June 27 @ 09:30 - June 28 @ 17:00 HKT

Fraud and Anomaly Detection – Sydney

July 29 @ 09:30 - July 30 @ 17:00 AEST

Private and Corporate Courses

In addition to our public courses, AlphaZetta Academy can provide this course for your organisation in a private setting at your location or ours. Please enquire to discuss your needs.

Enquire Now

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