Course Outline
Day 1:
- What is data visualisation?
- Why it matters
- Data visualisation versus data mining
- Human cognition
- HMI
- Common pitfalls
Day 2:
- Different types of curves
- Drill-down curves
- Categorical data plotting
- Multi-variable plots
- Data glyph and icon representation
Day 3:
- Plotting KPIs with data
- R and X chart examples
- What-if dashboards
- Parallel axes mixing
- Categorical data combined with numeric data
Day 4:
- The many facets of data visualisation
- How data visualisation can mislead
- Disguised and hidden trends
- A case study using student data
- Visual queries and region selection
Requirements
A foundational understanding of data plotting—including X-Y graphs, histograms, and scatter plots—along with a general grasp of data trends and time-series graphing is required.
Testimonials (7)
I enjoyed the good real world examples, reviews of existing reports.
Ronald Parrish
Course - Data Visualization
I liked the examples.
Peter Coleman
Course - Data Visualization
I liked the examples.
Peter Coleman
Course - Data Visualization
I am a hands-on learner and this was something that he did a lot of.
Lisa Comfort
Course - Data Visualization
I really liked the content / Instructor.
Craig Roberson
Course - Data Visualization
Trainer was enthusiastic.
Diane Lucas
Course - Data Visualization
Learning about all the chart types and what they are used for. Learning the value of cluttering. Learning about the methods to show time data.