Course Code: ANL202
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Synopsis

ANL202 Data Storytelling with AI equips students with the knowledge and practical skills to transform data into meaningful business insights through effective visual communication and AI-enabled storytelling. The course introduces the principles of data storytelling and demonstrates how visual analytics can support business monitoring, decision-making, and strategic communication. Students will learn how to design clear and impactful visualisations, select appropriate charts for different analytical contexts, and craft compelling narratives for different audiences using both traditional approaches and AI-enabled tools. Advanced topics such as dashboard design, interactive visualisation and AI-assisted insight generation are also covered to enhance analytical communication and storytelling capabilities. Through hands-on activities and applied business scenarios, students will develop a portfolio of visual stories that communicate analytical findings effectively to business stakeholders.
Level: 2
Credit Units: 5
Presentation Pattern: EVERY REGULAR SEMESTER

Topics

  • Business performance measurement models
  • Key performance indicators for the business
  • Principles of data storytelling
  • Framing business questions for data storytelling
  • Principles of effective data visualisation
  • Data types, structures and data quality
  • Exploratory data analysis and data preparation
  • Data visualisation techniques
  • Developing data narratives with AI
  • Dashboard design for data storytelling
  • Creating interactive dashboards
  • Ethical and responsible data visualisation with AI

Learning Outcome

  • Explain the key principles of effective data visualisation and data storytelling for communicating business insights
  • Discuss ethical and responsible considerations in data visualisation and AI-assisted data storytelling
  • Prepare data for visualisation and communication
  • Apply appropriate data visualisation techniques based on data characteristics and intended communication purposes
  • Develop dashboards that communicate key performance indicators and support decision-making
  • Develop data narratives that communicate data-driven insights in a compelling and engaging manner
  • Use AI to support data visualisation and narrative development, while critically evaluating and validating its outputs
Full-time Programmes Part-time Programmes / CET Courses