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Course Outline

Day 1:

  • Introduction to data visualization
  • The significance of data visualization
  • Distinctions between data visualization and data mining
  • Principles of human cognition
  • Human-Machine Interaction (HMI)
  • Common pitfalls to avoid

Day 2:

  • Various types of curves
  • Drill-down curves
  • Plotting categorical data
  • Multi-variable plots
  • Representation using data glyphs and icons

Day 3:

  • Integrating KPIs with data
  • Examples of R and X charts
  • Interactive "what-if" dashboards
  • Parallel axes mixing
  • Combining categorical and numeric data

Day 4:

  • The multifaceted roles of data visualization
  • How data visualization can be misleading
  • Recognizing disguised and hidden trends
  • Case study: Student data analysis
  • Visual queries and region selection

Requirements

A foundational understanding of X-Y graphs, histograms, and scatter plots is required, along with a general grasp of data trends and time series visualization.

 28 Hours

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