📊 Visualising Data - Learning Outcomes

• Understand key grammar, idioms, and conventions of data visualisation.
• Identify and leverage resources, tools, and techniques for visualisation tasks.
• Create and communicate visual presentations that support decision-making.
• Evaluate and anticipate challenges, limitations, and opportunities in data visualisation.
• Reflect on and develop personal and professional skills throughout the module.

📚 Activities

• Unit 1. Case Study: Exploring corporate tax variation
• Units 2-4. Collaborative Discussion: Ryanair and EasyJet
• Unit 3. Data Visualisation Activities in R
• Unit 4. Reading, Organising and Writing Data with R
• Unit 5. Data Transformation and Exploratoy Anlaysis
• Unit 6. Classification Methods
• Unit 7. Visualising Dimensionality Reduction and Clustering Models
• Unit 8. Sunburst charts
• Unit 9. Data Visualisation with Python

• Units 10-11 Designing a Dashboard and Getting Started with Tableau

  
  

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