Data Visualization and Communication

• Credit value: 15 credits at Level 7
• Convenor and tutor: Dr Abdulrahman Al-Surmi
• Assessment: a 20-minute presentation (100%)

To support organisational decision-making, it is important that managers are able to interpret, understand and communicate data in a visual form. In this module we introduce you to the principles and techniques of data visualisation. You will learn the importance of visual representation methods and techniques that will help you to understand complex data and models.

Indicative syllabus

• Principles of visualisation
• Data analysis
• Dashboards
• Effective communication and story-telling using data
• ‘Big data’ and data visualisation

By the end of this module, you will:

• have the knowledge and skills to evaluate the relevance, reliability and validity of large datasets
• understand the application of data analytics, statistics and forecasting techniques and tools to support decision-making
• be proficient in the use of spreadsheets, databases, data analytics and simulation-based technologies and tools, statistical analysis software and web-based packages to analyse and evaluate different types of data
• be able to communicate effectively with different audiences, either orally or in writing, through data analytics.