The detection of anomalies is one of the most eclectic and difficult activities in data analysis. This course builds on the basics introduced in the earlier course, and provides more advanced methods including supervised and unsupervised learning, advanced use of Benford’s Law, and more on statistical anomaly detection. Optional topics may include anomalies in time series, deception in text and the use of social network analysis to detect fraud and other undesirable behaviours.
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.
|Audience||This is a course for data scientists, data engineers, investigators, forensic accountants and other professionals interested in advanced methods of anomaly, outlier and fraud detection.|
|Pre-requisites||Students should have completed or have equivalent knowledge to the course Fraud and Anomaly Detection|
|Objective||The objectives of this course are to provide rigour around the key content of the introductory course, extend the methods presented to more advanced cases and applications, and to provide some entirely new methods.|
|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.
Use firstname.lastname@example.org 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.
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 14 days or more before the course starts. No refunds will be issued for cancellations made less than 14 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 Training
In addition to our public seminars, workshops and courses, AlphaZetta Academy can provide this training for your organisation in a private setting at your location or ours. Please enquire to discuss your needs.
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.