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Business process data analytics

Overview

Registrations now open.

This four-day course covers main process data analysis techniques that are effective for extracting useful insights about your business processes. This course starts with an introduction to the concept of BPM (business process management) and its life cycle with a focus on the process monitoring and controlling phase. The course will then introduce the concept of process data analysis (process mining) and explain in detail the different types of process mining techniques including process discovery, conformance checking, performance analysis, and resource analysis.

Who should participate

This course addresses the needs of individuals who want to strengthen and improve their business process data analysis skills for the purpose of improving their business processes. The course is relevant to business personnel involved in process analysis projects, process improvement projects, and executives involved in BPM and strategic development projects.

Delivery

Where:

QUT Gardens Point
2 George Street
Brisbane
Qld 4001

When:

Dates
16 - 19 July 2019
19 - 22 November 2019

Cost

Registration typeCost
Standard registration $3,520 (GST included)
QUT staff and students (25% discount) $2,640 (GST included)
QUT alumni (15% discount) $2,992 (GST included)
Group registration (5 or more) 5% discount per person (on top of any other discounts you're eligible for)

Fees include:

  • course materials
  • catering

Advanced standing (credit) eligibility

Certification and pathway to QUT award courses

This short course provides a recognised pathway to obtain advanced standing (credit) for an award unit within courses including the:

A QUT Certificate of Attainment is available if you pass the corresponding assessments, consisting of a QUT internal exam and a project-based assessment. This assessment option attracts an additional fee of $1,000 plus GST.

These assessments evaluate your knowledge of the materials covered in the course as well as your ability to apply that knowledge in real-life scenarios. In order to pass the assessments, it is expected you will need to spend additional time beyond the short course contact hours to review the materials taught and integrate them into real-life settings.

If you receive a certificate of attainment, enrol and are accepted in an award course, you will be granted advanced standing for the equivalent award unit.

After you successfully complete this short course, you will have 3-years in which to gain advanced standing.

For full details on our courses, including entry requirements, browse our study offerings.

Contact

For more information about the course, contact Dr Kanika Goel.

For all registration or payments queries, email QUTeX at qutex@qut.edu.au


Registrations now open.

Content at a glance

Day 1

  • Introduction to BPM and BPM lifecycle
  • Process mining overview
  • Event log preparation
  • Introduction to process data analysis tools

Day 2

  • Process discovery
  • Conformance checking
  • Hands-on practice

Day 3

  • Resource analysis
  • Performance analysis
  • Hands-on practice

Day 4

  • Process mining methodology
  • Quality of process data
  • Case study

Course outcomes

You'll receive a QUT Certificate of Attendance documenting your participation in the course.

Register your interest

Registrations now open.

Payment

You'll need to pay your fees online by credit or debit card.

FEE-HELP and HECS-HELP are not available for QUTeX courses.

Cancellation

To cancel your registration, you must apply in writing to QUTeX.

If you cancel at least 10 business days before the course commences, you will receive a partial refund of the full fee minus a non-refundable $100 administration fee.

No registration refunds will be made after this time.

We reserve the right to cancel the course under certain circumstances, such as low registration numbers. If this happens, we will advise you as soon as possible, and give you a full refund. We are not responsible for any expenses you may have incurred if the course is cancelled.