Understanding and Development
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Diploma in Research & Learning
(Dip. RL) - Data Science
Specialisations
Government • National Statistics • Multilateral
Private Sector • Finance • Consulting
NGOs • Development • Food Security
Organisational Data Analytics
Develops the ability to analyse, visualise, and communicate data to drive decisions.
Course Focus
★ DESCRIPTIVE ANALYTICS MASTERY — Advanced visualisation, sector intelligence, and analytics strategy
Research Strand
Designing analytics research strategies that produce intelligence products, driving change.
Specialisation Context
A - Policy
Policy intelligence products: sector briefs, SDG dashboards, national indicator systems.
B - Business
Advanced business intelligence: competitive analysis, customer lifetime value, and financial forecasting.
C — Livelihoods
Livelihoods intelligence: food security indices, poverty mapping, programme impact visualisation.
Technical Learning Topics - by Specialisation
- Descriptive statistics for national indicator analysis
- Data wrangling for government administrative datasets
- Exploratory analysis of census and survey data
- Visualisation principles for public policy communication
- SDG dashboard design in Power BI
- KoboToolbox for national survey data collection
- Cross-tabulation for policy segmentation
- Correlation analysis of socioeconomic indicators
- Policy brief writing and evidence communication
- Research ethics in government data use
Assessment Tasks
Develop a sector analytics research strategy structured as a professional research report.
Software & Tools
Python (pandas, matplotlib, seaborn), R/RStudio, Power BI (DAX), Tableau (LOD), SPSS, STATA, KoboToolbox
AI Applications
AI-powered prescriptive suggestions in BI tools; using LLMs to generate analytical narratives and summaries.