Python excel retail analytics par post hayden (4 résultats)

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  • Langue : anglais

    Edité par Amazon Digital Services LLC - Kdp, 2025

    9798278004509

    • Couverture souple

    Vendeur : PBShop.store US, Wood Dale, IL, Etats-UnisPBShop.store US

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Neuf

    EUR 33,76

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    Expédition nationale : Etats-Unis

    Quantité disponible : Plus de 20 disponibles

    PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

  • Langue : anglais

    Edité par Amazon Digital Services LLC - Kdp, 2025

    9798278004509

    • Couverture souple

    Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-UniPBShop.store UK

    Vendeur avec une évaluation de 5 étoiles
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    Etat: Neuf

    EUR 29,98

    EUR 5,85 expédition 
    Expédition depuis Royaume-Uni vers Etats-Unis

    Quantité disponible : Plus de 20 disponibles

    PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

  • Langue : anglais

    Edité par Independently Published Dez 2025, 2025

    9798278004509

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    Vendeur : AHA-BUCH GmbH, Einbeck, AllemagneAHA-BUCH GmbH

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    Etat: Neuf

    EUR 60,36

    EUR 30,50 expédition 
    Expédition depuis Allemagne vers Etats-Unis

    Quantité disponible : 2 disponible(s)

    Taschenbuch. Etat : Neu. Neuware - Reactive PublishingRetail has entered its algorithmic era. The brands that survive are the ones that forecast demand with precision, optimize inventory intelligently, and make decisions driven by real data rather than intuition. This book gives retail operators, analysts, and founders a complete, end-to-end blueprint for mastering the modern analytics stack using the tools that dominate the industry: Python and Excel.This is a practical, battle-tested handbook that shows you how to transform raw retail data into strategic, revenue-driving insight. You will learn how to clean and structure datasets, engineer predictive features, build accurate sales forecasts, model seasonality and promotions, optimize stock replenishment, and automate the analytics workflows that typically take teams days to complete.This is not theory. It is a field manual built for real operators in a fast-changing marketplace.Inside, you will learn how to: - Build forecasting models in Python and Excel, including time series, moving averages, ARIMA, Prophet, and machine-learning approaches.- Diagnose demand volatility and set reorder points based on variability, safety stock, service-level targets, and lead-time uncertainty.- Construct dynamic dashboards that track SKU performance, margin trends, supply chain bottlenecks, and sell-through velocity.- Integrate Excel with Python to automate repetitive tasks, accelerate analysis, and produce enterprise-grade reporting.- Use price elasticity, promotions impact modeling, ABC/XYZ analysis, and inventory stratification to drive profitability.- Implement forecasting and inventory workflows that scale from small retail operations to national chains.Whether you run a retail business, work in FP&A, manage supply chain operations, or want to break into the analytics field, this book equips you with the modeling skills, tools, and frameworks used by top retailers around the world.Master the analytics that move product, shape demand, and protect margins. This book shows you how to build a smarter, more resilient retail operation, one forecast, model, and dataset at a time.

  • Langue : anglais

    Edité par Independently published, 2025

    9798278004509

    • Couverture souple
    • impression à la demande

    Vendeur : California Books, Miami, FL, Etats-UnisCalifornia Books

    Vendeur avec une évaluation de 4 étoiles
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    Etat: Neuf

    EUR 29,59

     Frais de port gratuits 
    Expédition nationale : Etats-Unis

    Quantité disponible : Plus de 20 disponibles

    Etat : New. Print on Demand.