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Business Analytics, 2nd Edition provides the student with a detailed overview of analytics concepts, including hierarchical cluster analysis, the forecasting process for time series, maximization problems in linear programming, among others. This textbook is direct and concise with systematic content designed to engage today’s student through visually engaging content. There is a wide variety of assignment types that help students master analytics concepts and build real-world working capability. Business Analytics, 2nd Edition goes into writing with big data, risk and risk analysis, optimization with nonlinear programming, and model assumptions and common violations. A chapter is broken down into linear regression models for trend and seasonality. Buy Business Analytics, 2nd Edition and be confident in your analytics education and career.
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