Introduction to Data Science

Categories: Data Science
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About Course

This module lays the foundation for understanding data by exploring its definition, types, and applications in real-world contexts. Participants will learn how data underpins decision-making across sectors such as health, education, governance, and business. The session will emphasize how data transforms raw facts into actionable insights, and how these insights can guide policies, improve services, and drive social and economic development. We will also discuss the Sustainable Development Goals (SDGs) and the vital role that timely, accurate data plays in monitoring and achieving these goals. Through case studies, participants will see the tangible impact of data in addressing challenges and measuring progress, preparing them to think critically about the data and how to leverage it in their work . 

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What Will You Learn?

  • Explain what data is and identify its main types.
  • Identify key data sources relevant to development.
  • Describe how data supports decision-making.
  • Engage in discussions and produce a short reflection on data use in your sector.

Course Content

What is data?

Data types: qualitative, quantitative, structured, unstructured

Data ecosystems and sources

Role of data in SDGs and policymaking

Case studies on data’s impact

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