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This is an applied course on big data analytics with focus on data mining. R will be the main tool for problem solving with Python as the other option. Topics will cover data visualization, exploratory analysis, association rules, classification and regression trees, deep learning (neural networks), text mining, and social network analysis. Prerequisites: General understanding and experience with statistical models, including multivariable regression models, analysis of variance, and test of hypotheses. No previous programing experience is required, and the textbook offers extended code that can be used directly or modified.