DATA 210 - Exploratory Data Analysis

Credits: (3)
Issues discussed in this course are the acquisition, cleaning, manipulation, transformation, and analysis of data obtained from a variety of sources. Topics include R programming, summarizing data numerically and graphically, categorical data, higher dimensional data, making and testing conjectures about data, and presenting results. Prerequisite(s): DATA 200 or permission of the instructor. Spring Only