An 8-hour course on R and Data Mining

December 9, 2018

(This article was first published on R –, and kindly contributed to R-bloggers)

I will run an 8-hour course on R and Data Mining at Black Mountain, CSIRO, Australia on 10 & 13 December 2018.

The course materials, incl. slides, R scripts and datasets, are available at

Below is outline of the course.

Part I:
– R Programming: basics of R language and programming, parallel computing, and data import and export
– Data Exploration and Visualisation: summary, stats and various charts
– Regression and Classification: linear regression and logistic regression, decision trees and random forest
– Data Clustering: k-means clustering, k-medoids clustering, hierarchical clustering and density-based clustering

Part II:
– Time Series Analysis: time series decomposition, forecasting, classification and clustering
– Association Rule Mining: mining and selecting interesting association rules, redundancy removal, and rule visualisation
– Text Mining: text mining, word cloud, topic modelling, and sentiment analysis,
– Network Analysis and Graph Mining: graph construction, graph query, centrality measures, and graph visualisation
– Big Data: Hadoop, Spark and R

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