Workforce Analytics

UNSW graphic yellow


This course currently has no scheduled dates. To express interest in this course or to discuss bespoke options for yourself or your organisation, please submit an expression of interest or contact the Professional Education Team on +61 2 5114 5573 or


1 day

Delivery mode




Course capacity


Standard price


Defence price


Accelerate your career, learn new skills, and expand your knowledge.

First in Australia for research excellence and impact.

Top 50 in the world. 2020 QS World University Rankings.


The volume and availability of workforce data is increasing. With this, HR professionals need the data literacy skills to analyse data, and interpret and present the results to support evidence-based decision making. This course provides participants with the skills to undertake workforce analysis, present information visually, and communicate the results to support decision making.

Participants learn key statistical terms, how to use a variety of workforce metrics to measure workforce outcomes and performance, how to recognise different types of biases in analysis, how to present information visually, and how to effectively communicate a message. Participants also learn how to use Microsoft Excel functions such as filters, pivot tables, the Data Analysis Toolpack, and charts to analyse and present workforce information.

The skills developed in this course will also assist HR professionals who are responsible for developing or reviewing workforce plans. As such, some will find this course a useful lead-in to the one-day Workforce Planning short course.

Course content

  1. The purpose of data analytics
  2. Basic statistical concepts and terminology
  3. Workforce metrics
  4. Data visualisation
  5. Understanding biases
  6. Working with Microsoft Excel (filters, pivot tables, Data Analysis tool pack, charts)
  7. Communicating the analysis and making the message stick

Learning outcomes

Skills/competencies/knowledge that would be gained through this course:

Who should attend

The course is valuable for HR professionals who wish to develop their data literacy skills, and understand how to analyse, present and communicate workforce information to support decision making. The skills will also be valuable for those who are responsible for developing a workforce plan.

No academic or technical knowledge is required. A basic understanding of Microsoft Excel will be useful for some segments of the course.


Dr Paul Robards

Dr Paul Robards has almost 20 years of experience in strategic level workforce planning. He has a Masters of Science in Management (Manpower Systems Analysis) and a PhD in Information Science. He was appointed as a Member of the Order of Australia for his contributions in the field of workforce modelling, forecasting and analysis.



"[The best features of this course were the] explanations of statistical/analysis terms.  Great examples of both successful and unsuccessful ways of communicating the HR metrics.  [The] presenter was easy to understand and explained things well. Made me think about my agency's way of doing things and how we could improve." Anonymous 11/11/2019
"[The best features of this course were the] facilitator’s knowledge and ability to move with the requirements of participants (some who were well versed and others, like myself, who were novices).  The slide presentation built well through the topic and will be a great ready reckoner for me. Though I was concerned about the exercises (the coaching was good), I did find them useful." Anonymous 11/11/2019 

Cancellation policy

Courses will be held subject to sufficient registrations. UNSW Canberra reserves the right to cancel a course up to five working days prior to commencement of the course. If a course is cancelled, you will have the opportunity to transfer your registration or be issued a full refund. If registrant cancels within 10 days of course commencement, a 50% registration fee will apply. UNSW Canberra is a registered ACT provider under ESOS Act 2000-CRICOS provider Code 00098G.