The volume and availability of workforce data is increasing. With this, HR professionals need the data literacy skills to analyse the data, and interpret and present the results to support evidence-based decision making. This one day course will provide participants with the skills to undertake workforce analysis, present information visually, and communicate the results to support decision making.
Participants will 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 will 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 that are developed in this course will also assist HR professionals who have the responsibility 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.
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.
|The purpose of data analytics|
|Basic statistical concepts and terminology|
|Working with Microsoft Excel (filters, pivot tables, Data Analysis tool pack, charts)|
|Communicating the analysis and making the message stick|
What you will receive:
- Comprehensive set of course notes
- UNSW Canberra certificate of attendance
- Morning tea, lunch and afternoon tea
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.