Applied Big Data/Machine Learning in Risk Management and Audit (NSW)
Monday, 8 May 2017 at 8:45 am - Tuesday, 9 May 2017 at 5:30 pm (AEST)
San Francisco, California, USA
London, United Kingdom
This course is designed to provide participants, with no prior exposure to Big Data (BD), with the knowledge and practical skills to start using Big Data in their organisations. Initially the course covers four (4) of the most popular tools for processing Big Data – Apache Hadoop, Apache Spark, Apache Hive and MongoDB. It then progresses to the topic of Machine Learning (ML) and provides practical exercises demonstrating how ML is used.
A distinguishing feature of the course is its practical aspect. At the end of each module there is a practical exercise designed to reinforce the concepts of the module and to give participants a chance to “get their hands dirty”.
At the start of the course, each participant will receive a USB with a fully configured Virtual Machine (VM) that will be used for the practical work throughout the course. Students will be allowed to keep the VMs after the course, so that they refer to the exercises in their day-to-day work and, when they feel more confident, to modify and enhance them to be used in their audit engagements.
2 days/15 hours.
Lunch, morning and afternoon tea is included on both days.
What you will learn
Click on the image below to access a larger vesion of the full course program. (Opens in new window).
Is my registration/ticket transferrable?
Yes, your registration is transferrable.
Do I have to bring my printed ticket to the event?
No, you don't need to bring your printed ticket. Please bring an ID, so that we can verify your attendance.
The name on the registration/ticket doesn't match the attendee. Is that okay?
Yes, that's OK.
Do I need a computer to attend the course?
Yes, you will need to bring a laptop/notebook since this is a course with practical orientation and will include a number of practical exercises. You can use either a Mac or Windows-based machine.
Please make sure that you can install software on your computer! Some organisations do not allow employees to install any software on their systems. Please check with your system administrators if you're allowed to install new software. For the purposes of the course, you will need to install VirtualBox.
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Mario Bojilov, Chief Data Strategist, Meta Business Systems
MARIO BOJILOV is a Certified Information Systems Auditor and has worked within audit and risk since 1994.
Mario founded Meta Business Systems in 2004 of which he is the current Chief Data Strategist. The company is focused on performance monitoring, business intelligence and social media analytics. A number of Queensland-based organisations, such as Griffith University, Brisbane City Council, Queensland Urban Utilities and QUT have used solutions designed and implemented by Mario and Meta Business Systems.
Mario Bojilov holds a Master of Engineering Science Degree from the University of Queensland and a Graduate Diploma of Applied Finance and Investment from the Financial Services Institute of Australasia (FINSIA).
Mario has appeared as a presenter and lecturer at various professional and academic bodies, such as Institute of Internal Auditors (IIA), Information Systems Audit and Control Association (ISACA), University of Queensland, Queensland University of Technology and University of Southern Queensland.
Further information about Mario Bojilov can be found on LinkedIn and Twitter.