Course Code:
visa_lbg
Duration:
14 hours
Prerequisites:
Experience of analysis, statistics and producing data an advantage
Overview:
This classroom based training session will contain presentations and computer based examples and case study exercises to undertake.
Course Outline:
- Introduction to Visual Analytics
- 5 Principles of Data Visualisation
- Tables vs charts
- What makes visualisations effective
- Gestalt Principles of Visual Perception
- Types of charts and how to choose the right one
- Common types of charts
- Choosing the right chart for your data
- Understanding your audience
- Handling missing data
- Advanced charts
- Sankey
- Radar
- Treemap
- Heatmap
- Boxplot, violin plot
- Choosing the right chart for your data
- Choosing the right chart for your audience
- Eliminating clutter from charts
- Storytelling with data
- The importance of storytelling
- Building a narrative structure
- Drawing attention
- Including call to action
- Creating dashboards and infographics
- Exploratory vs explanatory analysis
- How to convey your message
- Live presentation vs report
- Visualisations that are simple, informative and engaging
- The characteristics of a good dashboard
- The characteristics of a good infographic
- Common mistakes and misleading charts
- Charts that should be avoided
- How we are being deceived by colour, scale and size
- Visual analytics case studies