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The science of data analytics 353


 
Module code STK 353
Qualification Undergraduate
Faculty Faculty of Economic and Management Sciences
Module content

Sampling: basic techniques in probability, non-probability, and resampling methods. Designing experiments: experimental and control groups, different data types and relationships. Big and small data: exploring popular trends used in practice. Consultation practice: ethical considerations, study design, data collection and presentation, report writing and presentation. Hands-on application of statistical software and packages to real-life datasets.

Module credits 25.00
Service modules Faculty of Natural and Agricultural Sciences
Prerequisites STK 210, STK 220 or WST 211, WST 221
Contact time 1 practical per week, 3 lectures per week
Language of tuition Module is presented in English
Department Statistics
Period of presentation Semester 2

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