Data Visualisation and Analytics for Social Sector (NPM513)

NPM513 Data Visualisation and Analytics for Social Sector explores the application of data visualisation and analytics to drive changes in the social sector. The course covers the construction of effective charts and dashboards, dashboard design principles, and data mining techniques such as association, clustering, and predictive modeling. Students will gain hands-on experience in applying analytics for a range of social good initiatives, including improving resource allocation and enhancing program effectiveness among others.

• Data attributes
• Charts appropriate for different types of data
• Types of dashboards
• Data preparation for data mining
• Data mining methodology
• Data mining techniques
• Limitations & Ethical considerations of data mining
• Predicting potential beneficiaries or donors
• Volunteer segmentation and management
• Targeted marketing & effective campaigns
• Retaining engagement
• Data-Driven approaches for social interventions

• 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.