Data Visualisation for the Tamil Nadu Corporation for the Development of Women

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Data Visualisation

Programme Date: 3-5 July 2014, 7-9 July 2014 | Chennai

Understanding and building narratives using various forms of data is a critical component of practice. However, practitioners often face challenges in the process of collating, translating and effectively communicating the complex information, using diverse media. This course highlights the importance of using data in the context of urban and development sectors, and trained learners to build and share narratives around it, using a structured process.

Key Takeaways
  • Ability to build impactful narratives using different forms of data
  • Understanding principles of graphical excellence
  • Exposure to integration of spatial, qualitative and quantitative visualisations into comprehensive infographics and reporting outputs
  • Understanding of the potentials and limits of data analysis and visualisation
  • Gaining experience in tools such as Microsoft Office, CartoDB, Google Earth, etc.
Target Audience
  • District Monitoring and Evaluation (M&E) officers.
  • Tamil Nadu Corporation for Development of Women (TNCDW) state level executives
Format and duration

The course is broadly structured around 3 modules over 3 days:

  • Case studies on data presentation, validation, reporting and analysis
  • Foundations and principles of Data Visualisation (DV) – integration of visualisations into comprehensive infographics
  • Building capacity with DV tools and practice
  • Collaborative group work, iterative presentations and feedback
Session Structure
Session
and Time
Day 1 Day 2 Day 3
Session I
0930 – 1130
Introduction and Setting of Expectations Quantitative Data Visualisation I Group exercise: Building Narratives
Break
Session II
1145 – 1300
Story Telling using Data Quantitative Data Visualisation II – working with tools Interim presentation to panel of experts
Lunch
Session III
1400 – 1600
Elements of Data Visualisation Spatial Data Visualisation I Group exercise: Preparing presentations
Break
Session IV
1615 – 1730
Qualitative Data Visualisation Spatial Data Visualisation II – working with tools Final presentations to panel of experts

Faculty

The lead faculty of the course are:

  1. D K Sivakumar
  2. Garima Jain
  3. Shriya Anand
  4. Swastik Harish