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DATA215M - Applied Data Analytics (3-2-4)

Data analysis is a process for obtaining raw data and converting it into information useful for decision-making by users. This course is an introduction to the tools and techniques required to enter the growing field of analytics. Major topics include R programming language concepts, modeling and algorithms, techniques for analyzing quantitative data, and barriers to effective analysis. Emphasis is placed on applications of data analysis and decision-making. Prerequisites: MATH212M with a grade of “C” or better.