08 Feb 2017

Trend Spotting and Pattern Spotting: Seeing What Matters in Data Visualisations

Course overview:

Data visualisation is an important part of analytics. Analytics effectiveness and impact depends on visualisation skills of two kinds – ability to create visuals and ability to understand visuals. The real value of visualisation does not come from creating visuals, but from understanding what they can tell you. With the language of words we learn reading and writing as separate but related skills. Similarly, with visual language we need to learn understanding (reading) and creating (writing) as distinct but related skills. There are many books, courses, and other resources that teach people how to develop data visualisations but few that teach how to read and understand them. This course aims to fill that gap by teaching the core capabilities of understanding and interpreting data visualisations.



You will learn:

  • Ten key concepts of data visualisation
  • The most important things to look for when reading visualisations
  • How to do a “quick read” of data visualisations
  • How to do a “critical read” of data visualisations
  • To see trends, patterns, and outliers in visual presentation of data
  • To see ambiguity, distortion, and bias in visual presentation of data

Geared to:

  • Business managers, decision makers, analysts and other analytics consumers seeking to refine their skills for understanding data visualisations
  • Data scientists, data analysts, and other analytics providers seeking to enhance their data visualisation skills by understanding visualisation from the perspective of the readers