9/18/2023 0 Comments Logistic regression program remoteTechniques covered range from descriptive statistics and linear and logistic regression, the analysis of data from randomised experiments, model selection for prediction and classification tasks, to the analysis of unstructured text as data, multilevel and geospatial modelling, all using the open source program R. You will clean, process, model and make meaningful visualisations using data from these fields, and test hypotheses to draw inferences about the social world. We cover topics including elections, criminology, economics and the media. This subject will offer a nuanced combination of real-world applications to data science methodology, bringing an awareness of how to solve actual social problems to the Master of Data Science. This subject will help students gain a critical understanding of the strengths and weaknesses of quantitative research, and acquire practical skills using different methods and tools to answer relevant social science questions. There is an unprecedented demand from technology companies, financial services, government and not-for-profits for graduates who can effectively analyse data. Data science is a new, rapidly expanding field.
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