Quantitative Analysis and Data Visualisation

Quantitative Analysis for Social Action and Research

  1. Formulating research questions in a quantitative lens
  2. Quantitative Research design in social practice context
  3. Sampling techniques
  4. Preparation of survey schedule
  5. Basic descriptive statistics-Tables, Charts and Graphs
  6. Use and risks of percentages
  7. Mean- Median Mode – meaning and use
  8. Basic distributions — meaning and use for social practice
  9. Basic Tests – Annova, Chai Square and why? What do they tell us
  10. Hands-on practice on above

Principles of Research Communication and Data Visualisation

  1. Basic principles of communications
  2. Planning research communications
  3. Data to Message
  4. Creation of charts and Graphs
  5. Conveying data messages into visuals including
  6. Visualisation of quantitative and qualitative data
  7. Use of open-source software in data visualisations and creating compelling messages
  8. Hands-on practice on above

Admission timeline to be announced.