STAT5100 - Fundamental Of Data Science

This course aims to provide students with a solid background in problem formulation and the fundamental statistical techniques and applications to data science. Topics include problem formulation, descriptive statistics, inferential statistics, confidence intervals, hypothesis testing, non-parametric statistics, experimental design, and categorical data. Emphasis will be placed on applying these techniques to large data sets. The language R will be used extensively. It is assumed that students will already have taken an undergraduate course in statistical techniques.
3 Credits