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
Requirements
Experience of analysis, statistics and producing data an advantage
Testimonials (6)
All the examples used and the lecturing style was on point even for a begginer i was able to understand and the training was so patient and always willing to go extra mile when in need of assistance.
Mathipa Chepape - Vodacom
Course - Big Data Business Intelligence for Telecom and Communication Service Providers
The content, as I found it very interesting and think it would help me in my final year at University.
Krishan - NBrown Group
Course - From Data to Decision with Big Data and Predictive Analytics
The exercises.
Elena Velkova - CEED Bulgaria
Course - Predictive Modelling with R
Good detail on what R is used for and how to start using it right away
Hoss Shenassa - Trimac Management Services LP
Course - Introduction to R with Time Series Analysis
examples and exercises
Kamil
Course - Introduction to Data Science and AI using Python
Machine Translated
All the information presented