Data Visualisation and Analytics for Social Sector

Synopsis

NPM513 Data Visualisation and Analytics for Social Sector aims to discuss the use of data visualisation and dashboards, provide an overview of data mining and equip students with the knowledge of various applications of analytics for social good. The course covers the construction of charts and dashboards, dashboard design principles, data mining techniques (association, clustering and predictive modelling) and data mining applications such as recruitment of volunteers, engagement of donors and prevention of family violence.

Level: 5
Credit Units: 5
Presentation Pattern: EVERY REGULAR SEMESTER

Topics

Data attributes
Charts appropriate for different types of data
Types of dashboards
Data preparation for data mining
Data mining methodology
Data mining techniques
Pre-requisites and limitations of data mining
Prospect identification
Volunteer segmentation
Targeted marketing
Churn modelling
Programme selection for re-offenders

Learning Outcome

Evaluate the appropriateness of Data Visualisation techniques based on given data.
Critique the design of the dashboard based on the design principles.
Examine the different modelling techniques used.
Assess the different data mining applications used.
Construct a dashboard using Tableau.
Recommend the appropriate analytics techniques for different business problems.
Evaluate the application of business analytics for social good.
Formulate possible applications of business analytics for social good.

Part-time Programmes / CET Courses

Singapore University of Social Sciences

Data Visualisation and Analytics for Social Sector