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£79 2.1 Perform data reduction and derive interpretable factors and use factor scores to interpret the data set.
QUALIFI Level 7 Diploma in Data Science
Unit code: H/618/4975 RQF
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
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
The standard price quoted for this assignment is for 2000 - 2500 words (Theory Only) . Technical evaluation would be discussed upon assessment criteria of the assignment. For custom word count and written work, contact via Click here → , OR Whatsapp UK OR Whatsapp Middle East ← Click here . Live Chat