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Applied Statistics for Data Analysis (ACCT648)

Course description

This course aims at introducing the concepts of statistics methodologies and econometric approaches for searching analytical solutions to problems related in accounting and business with the practical use of big data. The use of statistical software R is integrated into most topics of the course.  Topics include R-programming, Statistical Modelling, Linear Regression, Resampling Methods, Linear Model Selection and Regularization, Tree-based methods, Cluster Analysis, Unsupervised Learning, etc.


Pre-requisites

Seminar Required

Graded, 1.0 Credit Units


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