Exploratory Data Analysis

This course introduces Data Science students to exploratory data analysis with a focus on the concepts and tools necessary for understanding and successfully undertaking an end to end exploratory analysis of large and complex data. All stages of data collection, preparation and cleaning, importation into a statistical programming environment, data manipulation, as well as analysis and visualization will be treated. Material will be presented via case studies which will involve hands on programming and analysis. Methods and models (both statistical and computational) will be introduced as needed according to the nature of the data encountered in each case. The case studies will be chosen to give a breadth of experience to the student. A modern statistical programming language will be used throughout.