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This subject assumes basic programming skills in Python 

<p>This subject explores Visual Data Analytics (VDA) and provides a comprehensive overview of principles and toolkits for analysing complex real-world data. The strength of VDA lies in its ability to translate enormous volumes of data into a format that can be intuitively understood, thereby enhancing the decision-making processes. The subject combines insights from various fields to visualize data and introduces essential statistical and data analysis techniques. These methods include data reduction, visual mining, smoothing, clustering, and validation techniques. Students will learn how to create high-integrity visuals that enable fast and precise business decision-making. The subject also covers the limitations of visual perception and teaches students how to design impactful visuals that take advantage of human’s cognitive preference for visual information.</p>

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ITN518 - Dashboarding, Visual Analytics, and Digital Storytelling

Dashboarding, Visual Analytics, and Digital Storytelling

Design interactive data visualisation techniques for use in various business scenarios.

Apply and discuss fundamental concepts in visual data analytics, dashboarding, and digital storytelling.

Identify and critically evaluate a range of data visualisations that facilitate the discovery and presentation of data-driven stories for various business use-cases.

Interpret outputs from visual data analytics, and effectively communicate them to both expert and non-expert audiences.