Participants to this module shall -    Learn the principles and rules underlying the design of visual data representations and human-computer interactions -    Understand, adapt and apply representative visual analytics methods and systems for diverse types of data and problems -    Analyse and evaluate the structure and properties of data to select or devise appropriate methods for data exploration -    Combine visualization, interactive techniques, and computational processing to develop practical data analysis for problem solving

(This teaching material on Visual Analytics for Data Scientists is part of a MSc module at City University London).

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