Module Specifications..
Current Academic Year 2023 - 2024
Please note that this information is subject to change.
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Description Data and visual analytics is an emerging field concerned with analyzing, modeling, and visualizing complex high-dimensional data. This course will introduce students to the field by covering state-of-the-art modeling, analysis, and visualization techniques. It will emphasize practical challenges involving complex real-world data and include several case studies and hands-on work with programming languages (SQL and R) and visualisation software (Tableau and PowerBI). | |||||||||||||||||||||||||||||||||||||||||
Learning Outcomes 1. Explain the term Data Analytics and summarise the challenges and opportunities for businesses of effectively mining, managing, analysing and reporting on their data. 2. Compare and contrast traditional relational database management systems with non-relational databases developed for dealing with 'Big Data' 3. Apply suitable data visualisation techniques do a wide variety of variable types and develop dashboards using Tableau. 4. Use R to create professional data analytics reports on real-case scenarios applied to the world of business and management 5. Detail the most recent techniques and applications for analysing databases in organisation environments. | |||||||||||||||||||||||||||||||||||||||||
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
Introduction to Data AnalyticsWhat is Data Analytics? Data Sources and types. Data Analytics strategies for managers; managing data, mining data, analysing data, and reporting on findings. Tools for managing, storing, and analysing data for both traditional and non-traditional datatypes.Data VisualisationTables and Graphs, Functions of Visualisations, Graphic Integrity, Data-Ink Ratio, Tables & Graphs, Multiple Datasets, Interactive Graphs. Use of Tableau to develop Data Visualisation Dashboards.Descriptive Statistics and Statistical ModellingSummary of advanced techniques for analysing quantitative dataDatabase / Data ManagementSQL Databases, Relational Management Database systems (RMDS) Big Data storage and management | |||||||||||||||||||||||||||||||||||||||||
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Indicative Reading List
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Other Resources None | |||||||||||||||||||||||||||||||||||||||||
Programme or List of Programmes
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