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Statistical data modelling

Unit Code: FIT5197

Duration: 6 weeks

Contact Hours: 20-24 hours of study per week

Credit Points: 6


The basis of data science is mathematical, in particular statistical modelling. In ‘Statistical data modelling’ this aspect of data analysis is given pride of place, with a focus on how modelling is used in a wide range of professional contexts. By working through case studies and industry-relevant examples, you will learn about analytic tasks, including: statistical hypothesis testing and exploratory versus confirmatory analysis. Similarly, you will acquire skills in a range of concepts fundamental to data modelling and prediction, including: basic probability distributions; random number generation and simulation; and estimation methods such as maximum likelihood estimators, Monte Carlo estimators, Bayes theorem, bias versus variance and cross validation.