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FIT5197 – Modelling for Data Analysis: – This academic course traverses the statistical modelling foundations which central the analytic contexts of Data Science. This study unit covers the statistical and mathematical basis with prominence on using the techniques in application. This subject coursework introduces sampling, data collection, and quality. This unit considers analytic activities such as exploratory versus confirmatory analysis and statistical hypothesis testing. This unit shows random number generation, fundamental probability distributions, and simulation as well as estimation methods and effects like Monte Carlo estimators, bias versus variance and cross-validation, maximum likelihood estimators, and Bayes theorem.

FIT5197
FIT5197

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