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Business Analytics

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Description

Business Analytics Transform how you think. Transform how you decide. Transform your future. In an age where every click, swipe, and transaction generates data, one question separates thriving businesses from stagnant ones: Can you turn data into action? This isn’t just another analytics book, it’s a modern-day playbook for anyone who wants to lead, innovate, and make smarter decisions through the power of analytics. Whether you're a business student preparing for tomorrow or a professional ready to level up, this hands-on, software-supported guide takes you from data novice to analytical thinker. With clear explanations, rich examples, and step-by-step exercises, it empowers you to master the full analytics journey, from raw data to strategy, from charts to change. Why this book is different and essential: It’s practical. Learn by doing with tools used in top companies: Excel, Power BI, R, StatTools, DPL, MaxDEA, and Super Decisions. It’s cutting-edge. Apply machine learning in R with real business scenarios: from k-NN and support vector machines to random forests and neural networks. It’s complete. Covers all four pillars: Descriptive, Diagnostic, Predictive, and Prescriptive Analytics, with a bonus part on Advanced Analytics and Ethics. It’s future-ready. Includes data storytelling, visual intelligence, and privacy-by-design. It’s written to inspire. You won’t just learn analytics, you’ll learn how to think analytically, communicate insights, and drive results that matter. Inside the Book - A Glimpse: Descriptive analytics with Excel: statistics, pivoting, dashboards Diagnostic analytics: find root causes, detect outliers, drill deep Predictive analytics: forecasting, regression, and logistic models with Excel and StatTools Machine learning in R: apply classification and clustering algorithms to solve real-world problems Prescriptive analytics: make optimal decisions with decision trees, optimization models, data envelopment analysis (DEA), and the analytic hierarchy process (AHP) Advanced topics: craft compelling data stories, build interactive reports in Power BI, and develop ethical analytics workflows Who is this book for? Students of business, economics, data science, and IT Instructors looking for an all-in-one, application-based teaching resource Analysts, consultants, and decision-makers who want to bridge the gap between data and impact Anyone who wants to speak the language of data and lead with confidence This is not just a book. It’s your passport to the data-driven world of tomorrow. Open the cover, and start unlocking insights, making smarter decisions, and building your edge in a world ruled by data.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
05 July 2025
Listed Since
08 July 2025

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