| Management number | 232070150 | Release Date | 2026/06/18 | List Price | $2.80 | Model Number | 232070150 | ||
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Struggling to turn messy supply chain data into clear, confident decisions?Modern supply chains generate enormous amounts of data, sales records, inventory levels, shipments, supplier performance but many professionals still rely on spreadsheets, intuition, or fragmented reports to manage them. The result is uncertainty, inefficiency, and missed opportunities for insight.‘Learn Python for Supply Chain Analytics’ provides a practical, beginner-friendly roadmap for transforming raw operational data into meaningful analysis, forecasts, and optimization strategies. Without assuming prior programming experience, this book guides you step-by-step through the essential skills needed to work with real-world supply chain datasets using Python.You will learn how to clean and structure messy data, explore patterns in demand and inventory, forecast future needs, evaluate supplier performance, and model logistics and distribution decisions. Along the way, you’ll develop the analytical mindset required to interpret supply chain data thoughtfully not just mechanically.Inside this book, you will discover how to:Load and prepare real supply chain datasets using PythonClean inconsistent records and handle missing or unreliable dataAnalyze demand, inventory, suppliers, and logistics performanceApply forecasting techniques to anticipate future demandOptimize inventory levels and distribution decisionsIntegrate multiple supply chain data sources into unified analysisBuild reproducible analytics workflows for operational decision-makingWritten for supply chain professionals, analysts, students, and curious learners, this book bridges the gap between traditional operations knowledge and modern data-driven analytics. Each chapter combines practical Python examples with real-world context, helping you understand not only how to analyze supply chain data but why it behaves the way it does.Whether you work in procurement, planning, logistics, operations, or analytics, this book will help you move beyond spreadsheets and toward confident, data-informed supply chain decisions.If you’re ready to understand your supply chain through data and use Python to reveal its patterns, risks, and opportunities this book is your starting point. Read more
| ASIN | B0GS31Q23Z |
|---|---|
| XRay | Not Enabled |
| Language | English |
| File size | 684 KB |
| Page Flip | Enabled |
| Word Wise | Not Enabled |
| Print length | 186 pages |
| Accessibility | Learn more |
| Book 16 of 17 | DIGITAL SKILLS FOR THE FUTURE — SERIES |
| Screen Reader | Supported |
| Publication date | March 10, 2026 |
| Enhanced typesetting | Enabled |
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