Description
Applied Financial & Business Analytics provides an integrated introduction to the analytical methods, financial concepts, and digital tools used in modern decision-making. Moving from business and financial foundations to Excel modeling, statistics, forecasting, SQL, Databricks, visualization, simulation, optimization, Python, machine learning, and R, the book shows how data become evidence and how evidence becomes action. Worked examples, learning objectives, applied cases, exercises, and a comprehensive vocabulary guide make it suitable for students, instructors, analysts, finance professionals, and self-directed learners.











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