Market: Students and Professionals.

Data is the new competitive currency—and the organizations that know how to use it are pulling decisively ahead. Business Analytics: Principles and Applications with Microsoft Excel and Python is a comprehensive, accessible guide for students and professionals who want to harness the power of analytics to make smarter, faster, and more confident business decisions.
Unlike books that treat analytics as a purely technical discipline, this text bridges the gap between analytical rigor and real-world business application. Readers learn not just how to run an analysis, but why it matters—across marketing, finance, operations, and human resources. Every concept is grounded in practical case studies, applied using the two most widely used tools in business today: Microsoft Excel and Python.

From descriptive and diagnostic analytics to predictive modeling, optimization, and forecasting, the book builds skills progressively—with hands-on exercises, insight boxes, and step-by-step tool guidance designed to cement understanding at every stage. No prior programming experience is required.

Ideal for MBA and undergraduate business analytics courses, this text equips readers to move confidently from raw data to actionable insight and prepares them for a world where data literacy is no longer optional.