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£69 1.2 Perform principal component analysis and develop scoring models using R and python to minimise data loss and improve interpretability of data.
QUALIFI Level 7 Diploma in Data Science
Unit code: H/618/4975 RQF L evel: 7
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Aim Data reduction is a key process in business analytics projects. In this unit, learners will learn data reduction methods such as PCA, factor analysis and MDS. They will also learn to form segments using cluster analysis methods. Forming segments and then analysing is a key technique for large groups of data and their intrinsic information comes out in detail once segmented thoughtfully.
Learning Outcomes and Assessment Criteria
Assessment Guidance To demonstrate all learning outcomes and assessment criteria, each unit should follow the same assessment methodology:
Formative: Weekly assignments focussing on knowledge and understanding of technical skills using sample data sets over a period of 2 weeks and participation in weekly live classrooms and discussion groups;
Summative: 1. Formal timed exam testing technical knowledge 2. Component of two individual course projects based on real word data analytics
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