Course title |
Data Mining for Business Analytics |
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Course Codes |
DS7501 |
Level |
7 |
Status |
Elective |
Credits |
15 |
Prerequisite |
DS6502 Data Analysis and Visualisation |
Course offered in |
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Duration |
1 trimester |
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Aim
To provide learners with practical experience in developing analytical tools that provide
Indicative content
Data mining algorithms and their application on business analytical problems including clustering, association rules, classification and machine learning, Statistical methods for evaluating the predictive accuracy of data mining models, Visual approaches for presenting and evaluating predictive models and their results, Contemporary issues relating to data mining and its application within business analytics, Communication strategies for conveying meaning from analytical results to a target audience, Statistical programming tools and techniques for creating and evaluating predictive and explanatory models, insight and understanding of business performance based on data mining methods.
Learning Outcomes
On successful completion of this course, the learner will be able to:
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