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.
Face to face public courses: early bird pricing is available until 2 weeks prior. Group discounts: 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.
Online public courses: available at a 25% off the face-to-face courses as a special introductory price. to groups or to individuals who want to follow a curriculum program and attend multiple courses:
2-4 courses/attendees 10% off
5+ courses/attendees 20% off
Hurry as bookings will close 1 week before each course. Group discounts are calculated during checkout on individual courses. Individuals can book multiple courses at a discount – please enquire.
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.
Our online courses run as live online meetings using Zoom for the video meeting part and Microsoft virtual computers for the practical components. The benefit of having a live trainer for online training is you can ask questions, obtain mentoring from the trainer and interact with classmates.
Course participants will require the following technologies and online accounts. Please check that your setup satisfies these requirements:
Course participants will require the following technologies and online accounts:
Reliable computer (Windows, Mac or Linux)
Webcam (to help facilitate the mentoring aspect of our training)
Reliable internet access
A quiet space
Zoom video conferencing software and Zoom account (register and pre-install the software at zoom.us)
Microsoft account in order to access the virtual lab PCs (Existing or new account. There’s nothing to be installed, you just need an account to sign-in with.)
Face-to-face courses: 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 email@example.com 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? This is dependent on the venue. Please check the course event page.
Why do I need to provide a shipping address? For online courses, we need an address to send you the course notes that you need for the course.
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, or online. 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.
Dr Eugene Dubossarsky
Based in Australia, travelling frequently
Eugene is Managing Partner of AlphaZetta Academy and a leader in the analytics field in Australia, with 20 years’ commercial data science experience. He is the head of the Sydney Data Science group (3,000+ members), the Sydney Users of R Forum (1,900+ members), and Datapreneurs (400+ members). As a regularly invited conference presenter, consultant and advisor, Eugene appears in print and on television to discuss data science and analytics. Eugene also applies data science in an entrepreneurial setting, to financial trading and online startups, and is the creator of ggraptR, an interactive visualisation package in R.
He is a Director at Presciient, providing analytics capability, development services including team selection, training, and executive coaching for team owners and sponsors. They also provide strategic advisory, communications and specialised advanced data analysis.