Applied statistics at Aalborg University

Computing With Data Using R (2019)

Course plan (tentative)

Below is the intended course plan (deviations to be expected).

Preparation

Before the first lecture, please pay attention to our preparation page.

First week: Data wrangling and graphics

	Tue 9 Apr	Web 10 Apr
AM	[[M]] R 101 RStudio	[[M]] Data wrangling and relational data Dates/times and strings
PM	[[M]] R scripts Graphics	[[M]] Rmarkdown and reproducible research Graphics and factors

Between weeks exercise

More information will follow shortly.

Second week: Linear models

	Tue 23 Apr	Web 24 Apr
AM	[[S]] Linear models	[[S]] Linear models and caveats Collinearity in data
PM	[[S]] Statistical inference (t-test, confidence intervals, hypothesis testing)	[[T]] Tidy modelling Resampling: cross validation and bootstrapping

Between weeks exercise

More information will follow shortly.

Third week: Extensions

	Tue 7 May	Web 8 May
AM	[[M]] Functional programming Parallelisation	[[T]] Penalised/regularised regression
PM	[[T]] Unsupervised learning: Clustering and principal components analysis	[[T]] Classification: Classification trees and logistic regression