Building a predictive model is only part of data science. Before that comes understanding the problem and preparing the data. Afterwards comes evaluating the results, explaining limitations and deciding whether the model is useful in its intended setting.
This combination of statistical reasoning, programming and practical judgement makes data science a field worth investigating beyond the job title. If you are considering a career in data science, think about which parts of that work appeal to you and where your technical foundations need development.
UNSW Online’s data science articles explore career pathways, practical skills and postgraduate study. Use them to connect your learning goals with professional ambitions and look more closely at what developing expertise in this field can involve.
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What maths does a data scientist need to know?
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