Last modified: 31 May 2022 13:05
This course aims to make students familiar with basic data mining and visualisation techniques and software tools. Students will learn how to analyse complex datasets by applying data pre-processing, exploration, clustering and classification, time series analysis, and many other techniques. This course will also cover text mining and qualitative modelling. Through this course students will be able to analyse real-world datasets in various domains and discover novel patterns from them. This course is particularly suitable for those who are interested in working as data analysts or data scientists in the future.
Study Type | Postgraduate | Level | 5 |
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Session | Second Sub Session | Credit Points | 15 credits (7.5 ECTS credits) |
Campus | Aberdeen | Sustained Study | No |
Co-ordinators |
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Information on contact teaching time is available from the course guide.
Assessment Type | Summative | Weighting | 50 | |
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Assessment Weeks | Feedback Weeks | |||
Feedback |
Knowledge Level | Thinking Skill | Outcome |
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Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator |
Assessment Type | Summative | Weighting | 50 | |
---|---|---|---|---|
Assessment Weeks | Feedback Weeks | |||
Feedback |
Knowledge Level | Thinking Skill | Outcome |
---|---|---|
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator |
There are no assessments for this course.
Assessment Type | Summative | Weighting | ||
---|---|---|---|---|
Assessment Weeks | Feedback Weeks | |||
Feedback |
Knowledge Level | Thinking Skill | Outcome |
---|---|---|
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator |
Knowledge Level | Thinking Skill | Outcome |
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Factual | Remember | xx |
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