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Data Visualisation and Predictive Modelling Using R [1]

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Date: 2022-12 

This new short course is part of an Office for Students (OfS) funded pilot project to explore flexible courses that expand digital skillsets in data science and analysis.

There are two components to this course. Both require previous knowledge of R, and the second component will require a significant statistical background which the student is either expected to possess already or be capable of acquiring independently through the strength of prior studies or aptitude.

The course “Introduction to statistics and data science with R” is a suitable prerequisite.

Component 1 - Visualisation in R

The objective of this component is to identify patterns and display information from data from several sources; to encourage statistical thinking by a series of examples of good and not-so-good visualisations and guide students in their development of creativity within a scientific framework.

This component will highlight how visualisation plays a key role in many disciplines.

Component 2 - Predictive modelling

This component will introduce the principles for the application of linear modelling and machine learning methodologies for the analysis of experimental and observational data. R is used throughout.

The first strand of this component will study regression models, variable selection and ANOVA. The second strand will introduce several machine learning techniques. The third strand of the module will study techniques for dealing with missing data.

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[1] Url: https://theconversation.com/uk/events/data-visualisation-and-predictive-modelling-using-r-11326

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