On successful completion of the module, students should be able to:
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Know how to uncover useful information from messy data;
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Be aware of various ways in which data are collected and compiled;
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Be aware of the differences between observational and experimental studies;
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Have a knowledge of the biggest challenges currently facing data security and
privacy;
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Be familiar with image and text data;
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Be familiar with common methods used in predictive analytics for making
predictions about future unknown events;
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Be informed about model evaluation and validation approaches with the goal of
understanding how we can make our models as generalizable as possible;