STA5092Z - Exploratory Data Analysis

Course Outline:

As part of the MSc specializing in Data Science, this course aims to introduce the essential techniques for performing exploratory data analysis. These techniques are typically applied before formal modeling commences and allow the researcher to discover patterns, spot anomalies, test hypotheses and check assumptions with the help of summary statistics and graphical representations. Different types of data will be described and the appropriate exploratory data analysis techniques for each data type will be introduced. The course will distinguish between univariate non-graphical, multivariate non-graphical, univariate graphical, and multivariate graphical techniques and will teach the R syntax required for each. Special attention will focus on the visualization of large data dets.