Overview
This path focuses on using visualisation as a decision tool rather than a cosmetic layer. It brings together dashboard structure, visual hierarchy, metric interpretation, and tool-specific implementation in common BI environments.
Core topics
- Principles of effective dashboard design
- Visual encoding and storytelling for business users
- Data visualisation in Power BI, Tableau, and Looker Studio
- Analytical chart selection for trends, comparisons, and segmentation
- Visualisation workflows in Python and R where custom analysis is needed
Representative modules
- Google Data Studio or Looker Studio foundations
- Power BI fundamentals and advanced dashboard patterns
- Tableau for exploratory and executive-facing analysis
- Visual interpretation pitfalls and reporting clarity
- Translating analytical findings into stakeholder communication
Best fit
- BI teams improving the usefulness of existing dashboards
- Analysts who need stronger communication and interpretation skills
- Organisations standardising visual reporting practices across teams