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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.
Testimonials
I thought that the information was interesting.
Allison May
I really appreciated that Jeff utilized data and examples that were applicable to education data. He made it interesting and interactive.
Carol Wells Bazzichi
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.
Susan Williams
Trainer was enthusiastic.
Diane Lucas
I really liked the content / Instructor.
Craig Roberson
I am a hands-on learner and this was something that he did a lot of.
Lisa Comfort
I liked the examples.
Peter Coleman
I liked the examples.
Peter Coleman
I enjoyed the good real world examples, reviews of existing reports.
Ronald Parrish
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