Data Fit Program

Data Fit Program

Issued by Deakin University

Data Fit is a bespoke program co-designed by DeakinCo. and AustralianSuper. The program supports AustralianSuper’s strategic Data Program by teaching participants to translate data points into actionable business initiatives, make data-informed decisions, communicate meaningful insights, apply data storytelling and visualisation techniques, recognise and mitigate bias, manage data ethically, and identify and use common data repositories and platforms within a regulated corporate organisation.

Skills

  • Data management fundamentals
  • Data storytelling fundamentals
  • Data visualisation fundamentals
  • Foundations of data-informed decision making

Earning Criteria

  • Data Fit Bootcamp: Completed the online course using a fictional Case Study developed by AustralianSuper to make data-informed decisions, including defining a problem, identifying different types of data insights and identifying biases that can impact data informed decision-making.
  • Introducing data storytelling and insights: Completed an online course outlining the steps to create a good data story, sources and techniques to collect data, data analysis, data bias, visualisation techniques, design principles for data visualisation, data visualisation tools.
  • Data management, governance and ethics: Completed an online course highlighting foundational principles of data management, organisation, privacy, quality, ethics and governance.
  • Data@TheFund: Completed an online course exploring the Fund’s data ecosystem and landscape including data teams, analytics functions, data domains, common data resources and tools and the Fund’s obligations, policies and standards related to data.
  • Masterclass: Engaged and contributed in a working group, drawing on skills and knowledge from the bootcamp and core courses to apply concepts to a fictional Case Study. Created a controlled experiment to test hypotheses and translate data insights into actionable strategies. Collaborated to present key results and strategic recommendations, outlining any biases, risks and ethical considerations.