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Course Description

Applies data and digital insight to improve decision-making, collaboration, and performance in academic and administrative teams. Examines how leaders interpret information, measure progress, and communicate findings to guide projects and support accountability. Focuses on developing data literacy, critical analysis, and ethical awareness in the use of digital tools and AI applications. Highlights inclusive and reconciliation-informed practices that ensure data and technology support equity, transparency, and human-centered outcomes. Strengthens the leader’s ability to use analytics and technology responsibly while building team confidence in data-driven work.

 

What You'll Learn

Upon successful completion of this course, you will be able to:

  1. Interpret key metrics, dashboards, and reports to monitor progress and inform planning. 

  1. Apply data-informed approaches to set goals, track outcomes, and communicate results effectively. 

  1. Analyze ethical, privacy, and reconciliation considerations in the use of data and AI within projects or teams. 

  1. Communicate findings and recommendations through clear, evidence-based messages 

  1. Assess how digital tools can improve collaboration, decision-making, and performance tracking. 

 

Applies Towards the Following Certificates

Technical Requirements

You are responsible for ensuring that your computer system meets the necessary system requirements. Use the browser check tool to ensure your browser settings are compatible and up to date (results will be displayed in a new browser window).

*Course details are subject to change.

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