Explain design techniques for data visualization

Based on your Module topics, what did you find new and interesting?  And what appeared to be a review?  Also, identify at least one discussion post you found interesting, helpful, or beneficial (and why).

 

Topics covered in this Module

  • Data visualization
  • Table design principles
  • Chart types
  • PivotCharts
  • Advanced data visualization
  • Data dashboards
  • Events and probabilities
  • Conditional probability
  • Random variables
  • Discrete probability distributions
  • Continuous probability distributions

Learning objectives

By the end of this module, students should be able to:

  • Explain design techniques for data visualization
  • Create pivot tables, scatter charts, bar charts, bubble charts, pivotcharts in Excel
  • Identify applications for data dashboards
  • Describe events and probabilities
  • Explain conditional probability, Bayes’ Theorem, Multiplication Law
  • Discuss random variables and probability distribution
  • Calculate in Excel
    • expected value
    • variance
    • standard deviation
    • binomial probabilities
    • poisson probabilities
    • mean
    • exponential probabilities
  • attachment

    Camm_4e_Ch03_PPT1.pptx
  • attachment

    Camm_4e_Ch04_PPT.pptx

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