Introduction to data science - Data Science Training

About Course

This course provides an overview of what data is, why it matters, and its transformative impact. It also provides a brief introduction on how to interpret data, helping learners avoid the common data interpretation pitfalls.

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.
Interpret visual data accurately.
Detect bias in visualizations.
Present accurate interpretations.
Critique real-world visualizations.

Course Content

Data science and its applications

Data and types
Examples. Examples

Data interpretation
· Visual literacy: charts, tables, graphs · Identifying trends & outliers · Spotting misleading visuals · Best practices in presentation

Case studies

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