{"title":"Practical Analytics","description":"\u003cp\u003eUnlock the power of data with the Practical Analytics series. Perfect for aspiring analysts and seasoned professionals alike, explore real-world applications and master essential techniques to drive impactful insights.\u003c\/p\u003e","products":[{"product_id":"practical-risk-analysis-for-project-planning-book-galit-shmueli-9780991576685","title":"Practical Risk Analysis for Project Planning","description":"\u003cp\u003eProjects are investments of resources for achieving a particular objective or set of objectives. Resources include time, money, manpower, and sometimes lives. Objectives include financial gain, social and health benefits, national goals, educational and scientific achievements, and reduction of suffering, among many others. Projects are undertaken by large and small organizations, by governments, non-profit organizations, private businesses, and by individuals. Determining whether to execute a project, or which project to execute among a set of possibilities is often a challenge with high stakes. Assessing the potential outcomes of a project can therefore be detrimental, leading to the importance of making informative decisions.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePractical Risk Analysis for Project Planning\u003c\/b\u003e is a hands-on introduction to integrating numerical data and domain knowledge into popular spreadsheet software such as Microsoft Excel or Google Spreadsheets, to arrive at informed project-planning decisions. The focus of the book is on formalizing domain expertise into numerical data, providing tools for assessing potential project performance, and evaluating performance under realistic uncertainty. \u003c\/p\u003e\u003cp\u003eThe book introduces basic principles for assessing potential project performance and risk under different scenarios, by addressing uncertainty that arises at different levels. It describes measures of expected performance and risk, presents approaches such as scenario building and Monte Carlo simulation for addressing uncertainty, and introduces methods for comparing competing projects and reducing risk via project portfolios.\u003c\/p\u003e\u003cp\u003eA companion website to the book is available at \u003cb\u003ewww.RiskAnalysisBook.com\u003c\/b\u003e\u003c\/p\u003e\u003cp\u003eNo special software is required except Excel or another spreadsheet software. While the book assumes no knowledge of statistics, operations research, or management science, it does rely on basic familiarity with Excel. Chapter exercises and examples of real projects are aimed at hands-on learning.\u003c\/p\u003e","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51011312582929,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":51011315663121,"sku":"NIN9780991576685","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0991576683.jpg?v=1750916525"},{"product_id":"practical-time-series-forecasting-with-r-book-galit-shmueli-9780997847925","title":"Practical Time Series Forecasting with R","description":"\u003cp\u003e\u003cem\u003ePractical Time Series Forecasting with R: A Hands-On Guide, Second Edition\u003c\/em\u003e provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. The book introduces popular forecasting methods and approaches used in a variety of business applications.\u003c\/p\u003e \u003cp\u003eThe book offers clear explanations, practical examples, and end-of-chapter exercises and cases. Readers will learn to use forecasting methods using the free open-source R software to develop effective forecasting solutions that extract business value from time-series data.\u003c\/p\u003e \u003cp\u003eFeaturing improved organization and new material, the \u003cem\u003eSecond Edition\u003c\/em\u003e also includes: \u003c\/p\u003e \u003cul\u003e \u003cli\u003ePopular forecasting methods including smoothing algorithms, regression models, and neural networks\u003c\/li\u003e \u003cli\u003eA practical approach to evaluating the performance of forecasting solutions\u003c\/li\u003e \u003cli\u003eA business-analytics exposition focused on linking time-series forecasting to business goals\u003c\/li\u003e \u003cli\u003eGuided cases for integrating the acquired knowledge using real data\u003c\/li\u003e \u003cli\u003eEnd-of-chapter problems to facilitate active learning\u003c\/li\u003e \u003cli\u003eA companion site with data sets, R code, learning resources, and instructor materials (solutions to exercises, case studies)\u003c\/li\u003e \u003cli\u003eGlobally-available textbook, available in both softcover and Kindle formats\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cem\u003ePractical Time Series Forecasting with R: A Hands-On Guide, Second Edition\u003c\/em\u003e is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. The book is also designed for practitioners in the fields of operations research, supply chain management, marketing, economics, finance and management.\u003c\/p\u003e \u003cp\u003eFor more information, visit forecastingbook.com\u003c\/p\u003e","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51089028219153,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ GARDNERS","offer_id":51089028874513,"sku":"NGR9780997847925","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/0997847921.jpg?v=1751141343"},{"product_id":"practical-time-series-forecasting-book-galit-shmueli-9780997847932","title":"Practical Time Series Forecasting","description":"\u003cp\u003e\u003cem\u003ePractical Time Series Forecasting: A Hands-On Guide, Third Edition\u003c\/em\u003e provides an applied approach to time-series forecasting. Forecasting is an essential component of predictive analytics. 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Readers will learn to use forecasting methods to develop effective forecasting solutions that extract business value from time-series data.\u003c\/p\u003e \u003cp\u003eFeaturing improved organization and new material, the \u003cem\u003eSecond Edition\u003c\/em\u003e also includes: \u003c\/p\u003e \u003cul\u003e \u003cli\u003ePopular forecasting methods including smoothing algorithms, regression models, and neural networks\u003c\/li\u003e \u003cli\u003eA practical approach to evaluating the performance of forecasting solutions\u003c\/li\u003e \u003cli\u003eA business-analytics exposition focused on linking time-series forecasting to business goals\u003c\/li\u003e \u003cli\u003eGuided cases for integrating the acquired knowledge using real data\u003c\/li\u003e \u003cli\u003eEnd-of-chapter problems to facilitate active learning\u003c\/li\u003e \u003cli\u003eA companion site with data sets, learning resources, and instructor materials (solutions to exercises, case studies)\u003c\/li\u003e \u003cli\u003eGlobally-available textbook, available in both softcover and Kindle formats\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cem\u003ePractical Time Series Forecasting: A Hands-On Guide, Third Edition\u003c\/em\u003e is the perfect textbook for upper-undergraduate, graduate and MBA-level courses as well as professional programs in data science and business analytics. 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Acceptance sampling is key in the 21st century environment.\u003c\/p\u003e\u003cp\u003eAcceptance sampling plans provide criteria and decision rules for determining whether to accept or reject a batch based on a sample. They are therefore widely used by manufacturers, suppliers, contractors and subcontractors, and service providers in a wide range of industries.\u003c\/p\u003e\u003cp\u003eThe book introduces readers to the most popular sampling plans, including Military Standards and civilian ISO and ANSI\/ASQC\/BS standards. It covers the design, choice and performance evaluation of different types of plans, including single- and double-stage plans, rectifying and non-rectifying plans, plans for pass\/fail and continuous measurements, continuous sampling plans, and more.\u003c\/p\u003e\u003cp\u003e\u003cb\u003ePractical Acceptance Sampling\u003c\/b\u003e is suitable for courses on quality control and for quality practitioners with basic knowledge of statistics. 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