Introduction to Computational Workforce Analytics

(with Python)


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


2 days

Delivery mode

Live simulcast online course



Standard price


Defence price


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This course familiarises participants, especially those with no prior exposure to workforce analytics, with the context necessary to make data-driven decisions in workforce planning.

Workforce analytics is intended to help HR managers or executives make data-driven decisions about their employees or the workforce. This short course provides you with hands-on expertise in using statistics and Python on workforce data which can help you make better and more informed business decisions for your company.

Case studies will focus on different aspects of Workforce Analytics which may include talent acquisition and management, compensation and benefits, performance management, HR operations and learning and development, leadership development. Further, this course provide foundations for advanced level analytical methods such as optimisation and machine learning to support decision making in workforce analytics.

Prerequisite: Some familiarity with statistical methods and Python.

Required software: Python (freely available).

Course content

  • Main Components in workforce analytics and type of workforce analytics
  • Key Metrics used in workforce analytics and dashboard preparation tips
  • Descriptive Analytics (e.g. distribution plots, outlier detection)
  • Diagnostic Analytics (e.g. Hypothesis testing, ANOVA)
  • Predictive Analytics (e.g. linear and logistic regression)
  • Hands-on practice with case studies on recruitment, employee attrition and employee satisfaction analytics.

Learning outcomes

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

Who should attend

This introductory course is for anyone who is new to workforce planning or industry professionals seeking to gain a baseline understanding of the use of analytics in workforce-related decision-making problems. The content in this course can be applied to a range of industry sectors including broader Defence, other government, logistics, manufacturing, information technology, decurity and more.


Dr Hasan H. Turan

Dr Hasan H. Turan is a Lecturer at UNSW Capability Systems Centre. He's an expert on the development data-driven solution methods and their application on complex decision-making problems arising in different domains including service and maintenance logistics, defence (fleet management, workforce and resource planning), energy capacity expansion and telecommunications networks.

Dr Turan has been involved in several workforce planning projects funded by the Department of Defence. His works on defence workforce analytics have appeared in leading academic outlets.

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.