Detail kurzu

Graphing Data Effectively and Avoiding Common Pitfalls

EDU Trainings s.r.o.

Popis kurzu

The human mind is geared to look at patterns and attach immediate explanation to the patterns, consciously or subconsciously, and sometimes that conclusion or explanation might not be apt. This course discusses the common fallacies and paradoxes in statistics and data analysis, as well as common pitfalls in data visualization. The course also teaches general guidelines that help you avoid those pitfalls to ensure a fair and accurate representation of facts.

Obsah kurzu

IntroductionIntroduction to graphicacy.Introduction to SAS Visual Analytics.Introduction to data representation pitfalls.Common Data Misinterpretations and ParadoxesCommon data misinterpretations.Paradoxes in statistics.Spurious correlations.Common Visual MisrepresentationsCommon data visualization pitfalls.Measuring distortion in graphs.Reasons for misleading visualizations and consequences.Common Remedies for Pitfalls in VisualizationAvoid inappropriate choice of colors.Avoid inappropriate choice of graphical objects.Avoid overuse of custom or complex graphs.Review case study: Tackling visual clutter.

Cieľová skupina

Visual analysts, report or dashboard designers, business intelligence consultants, business analysts
Certifikát Na dotaz.
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