Registry
Module Specifications
Archived Version 2021 - 2022
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Description This module aims to develop an understanding of the management and structuring of large datasets. This module will develop an understanding of the critical role of exploratory data analytics, data quality and data governance within a data analytics pipeline. Techniques for data visualization, particularly of large datasets, will be discussed and implemented. | |||||||||||||||||||||||||||||||||||||
Learning Outcomes 1. Analyse the requirements of applications handling large datasets. 2. Demonstrate an ability to efficiently process a large dataset. 3. Practice data quality and data cleaning measures. 4. Critique data-driven visualisations based on their communication goals and effective use of visualisation methods and techniques. 5. Create effective data-driven visualisations. | |||||||||||||||||||||||||||||||||||||
All module information is indicative and subject to change. For further information,students are advised to refer to the University's Marks and Standards and Programme Specific Regulations at: http://www.dcu.ie/registry/examinations/index.shtml |
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Indicative Content and
Learning Activities Data CollectionVolume, Velocity, Variety and Veracity; Parsing structures and unstructured dataData ManagementUnderstanding requirements for data management; queries and impact on data management; an data-driven information lifecycle; mapping, transformation and pre-processing, data annotations and metadata.Data QualityData Cleaning; Accuracy; Completeness; Relevance; Consistency across data sources; Reliability; Accessibility.Data VisualisationWhat is data visualisation? Visualisation basics; Traditional forms of data visualisation; Visualising multi-dimensional data; Visualising large datasets (geo-spatial data, temporal data); Interactive visualisation. Use of a data visualisation tool or platform to create data driven visualisations.Evaluation of VisualisationUnderstanding of effective communication and best practice for creating data visualisations. | |||||||||||||||||||||||||||||||||||||
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Indicative Reading List
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Other Resources None | |||||||||||||||||||||||||||||||||||||
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