Business Analytics

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This book covers key topics related to business analytics like descriptive, predictive, and prescriptive analytics, data exploration, visualization, and preparation. There is emphasis on practical application, including advanced Excel features like pivot tables and lookup functions, alongside Python's capabilities for data preparation, regression analysis, and predictive modeling. Each chapter integrates examples, coding exercises, and step-by-step instructions. The primary purpose of this book is to equip readers with the knowledge and skills required to decode data using Advanced Excel and Python. It will not only simplify their business decision-making process but also enable them to predict future trends. It serves as a practical guide for students, educators, and professionals. Readers will learn about the three pillars of analytics: descriptive, predictive, and prescriptive, and understand why they're indispensable in organisational growth trajectories.

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Pages: 264, Paperback, LAP Lambert Academic Publishing