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Tools and techniques for statistical analysis of large, complex data sets. Application of statistical techniques suitable for big data, for example, dimension reduction, clustering algorithms, and text mining. Students will access data and run code on remote servers. High level parallel computing. Technologies covered may include Python, Structured Query Language (SQL), and bash programming languages.