# An 8-hour course on R and Data Mining

**R – blog.RDataMining.com**, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

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 http://www.rdatamining.com/training/course.

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

**leave a comment**for the author, please follow the link and comment on their blog:

**R – blog.RDataMining.com**.

R-bloggers.com offers

**daily e-mail updates**about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.

Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.