Participants can expect to:

• Use quantitative and qualitative research methods, including identifying and formulating a research problem in people analytics, research design and procedures for data collection and data analysis
• Develop, adapt and validate psychometric instruments
• Use analytic techniques in statistics and data science such as descriptive and inferential statistics, unsupervised and supervised machine learning algorithms and text mining
• Use software for data science, such as Microsoft Excel, R and/or Python. Process and wrangle data
• Report results and create data visualisation strategies in a clear, concise and credible way