Data Mining

Full course description

Data mining is the process of searching for patterns in data. Data mining has become increasingly important in many areas of science and business, from biomedicine to marketing, due to the increasing ability to generate and store enormous amounts of data.

Data mining makes use of machine learning / artificial intelligence algorithms and statistics, as well as effective use of visualisation techniques and database systems. This course will introduce you to the different aspects of data mining, including

• Data pre-processing and exploration
• Data clustering methods and visualisation
• Data modelling using regression and classification
• Association rule learning

This course will highlight the best practices and common mistakes during the data mining process and provide you with hands-on experience using the popular software program ‘R’ (www.r-project.org). You will get insights into the theoretical and algorithmic foundations of data mining and its application in real world examples.