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Data Science is a fast growing, important, and globally in-demand discipline. This course is designed to introduce students to the fundamentals of this field. It will start by introducing key mathematical and statistical concepts and applications like exploratory data analysis, probability (with a focus on essential theories, discrete and continuous random variables), modelling, inference, and bivariate data. It will also address a range of more applied topics where data is important to making decisions, including data wrangling, data analysis, and data visualisation, supported by the statistical programming language R.
1. MATH101, or2. NCEA 14 Credits at level 3 Mathematics, or3. Cambridge: D at A level or an A at AS level in Mathematics, or4. IB: 4 at HL or 5 at SL in Mathematics, or5. Approval of the Head of School based on alternative prior learning.