Course Support

DATA2002 Data Analytics: Learning from Data

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Working with data in R and reproducible reports · DATA2002

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Two-way and two-factor analysis of variance · DATA2002

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Testing means with the t-test family · DATA2002

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Study design: surveys, experiments and observation · DATA2002

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Rank-based tests when normality fails · DATA2002

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Permutation tests and the bootstrap · DATA2002

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One-way ANOVA and post hoc comparisons · DATA2002

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Multiple testing and error rate control · DATA2002

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Model selection and assessing performance · DATA2002

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Linear regression and model interpretation · DATA2002

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Hypothesis testing and chi-squared goodness of fit · DATA2002

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Dimension reduction and clustering · DATA2002

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Diagnostic accuracy and measures of risk · DATA2002

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Contingency tables: homogeneity, independence, exact tests · DATA2002

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Confidence intervals, power and sample size · DATA2002

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Classification: logistic regression, trees, neighbours · DATA2002

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QBUS2310 Management Science

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Zero-Sum Games as Linear Programs · QBUS2310

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Optimisation Under Uncertainty and Risk · QBUS2310

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Optimisation Decisions and Linear Models · QBUS2310

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Network Flow and Assignment Models · QBUS2310

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Linearisation and Piecewise Objectives · QBUS2310

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Linear Algebra, Convexity and Model Structure · QBUS2310

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Integer Models and Branch-and-Bound · QBUS2310

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Feasible Geometry and Basic Solutions · QBUS2310

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Duality, Certificates and Shadow Prices · QBUS2310

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Building Linear Optimisation Models · QBUS2310

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ISYS2120 Data and Information Management

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SQL Query Foundations · ISYS2120

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