Data Visualisation offered by the Urban Informatics Lab

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Data Visualisation

Programme Date: To Be Announced

Course Description

Understanding and building narratives using various forms of data is a critical component of research and practice in the development sector. However, researchers and practitioners often face challenges in the process of collating, translating and effectively communicating complex information, using diverse media.

This comprehensive programme will highlight the importance of using data in the context of the development sector. Through this programme, researchers and practitioners at various levels will be trained to build and share narratives around their data, using a structured process.

The course will familiarise learners with human-centric theoretical frameworks as well as contemporary tools in data analysis and visualisation, with a diverse set of cases and examples. At the end of the course, learners will be equipped to work with spatial, quantitative and qualitative data to create simple, comprehensible and compelling narratives.

Key Takeaways
  • Ability to build narratives using different forms of data
  • Skills to analytically read and create infographics
  • Understanding principles of graphical excellence
  • Hands-on training of tools for analysing and creating spatial, quantitative and informational graphics
  • Skills to integrate spatial and quantitative tools for visualisation and analysis
  • Gaining experience in tools such as Microsoft Office, CartoDB, Google Earth, etc.
Learner Profile

Researchers and practitioners in the development sector and professionals in the field of data visualisation.

Format and Schedule

The course is broadly structured around 3 modules:

  • Foundations and principles of Data Visualisation
  • Building capacity with DV tools and practice
  • Collaborative group work, iterative presentations and feedback
Course Structure
Time Day 1
Day 2
Day 3
0930 – 1130 Introduction Quantitative Data Visualisation I Group exercise: Building Narratives
1145 – 1300 Story Telling using Data Quantitative Data Visualisation II – working with tools Interim presentation to an external panel of experts
1400 – 1600 Elements of Data Visualisation Spatial Data Visualisation I Group exercise: Preparing presentations
1615 – 1730 Qualitative Data Visualisation Spatial Data Visualisation II – working with tools Final presentations to external panel of experts
Course Requirements

Course Requirements Participants to bring their personal laptops for this course. IIHS shall not provide any laptop devices to participants during the course.