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Course Outline
Day 1:
- what is data visualization
- why it is important
- data visualization vs data mining
- human cognition
- HMI
- common pitfalls
Day 2:
- different type 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 charts examples
- what if dashboards
- parallel axes mixing
- categorical data with numeric data
Day 4:
- different hats of data visualization
- how can data visualization lie
- disguised and hidden trends
- a case study of student data
- visual queries and region selection
Requirements
Some knowledge on data plotting X-Y graphs, histograms and scatter plots plus a general understanding of trends in data and time series graphing.
28 Hours
Testimonials (2)
I enjoyed the good real world examples, reviews of existing reports.
Ronald Parrish
Course - Data Visualization
I liked the examples.