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Larner S: Attacking the Space / LF

Attacking the Space

Inside Rugby's Tactical and Data Revolution - 'Illuminating' Eddie Jones

Asset Price Bubbles: Competitive Market Bubbles (In 2 Volumes)

Deliver successful digital transformation with a clear strategy, practical tools and confident decision making.
 
The Practical Guide to Digital Transformation is a hands-on roadmap for mid-career managers, team leads and directors who need to improve performance, modernize processes and drive innovation through technology. Written by technology expert Antonio Weiss, this step-by-step guide breaks the complexity of digital transformation into 19 practical, repeatable steps you can apply immediately.
Designed for professionals responsible for translating strategy into delivery, it shows how to build the right culture, manage change effectively, upskill teams and know when to bring in new talent. This second edition also adds essential guidance on AI, quantum computing, sustainability and the ethical use of technology, helping you stay ahead of emerging trends with confidence.
You'll learn how to: 
- Build a focused digital strategy that aligns with business goals 
- Create a culture that supports innovation, agility and continuous improvement 
- Manage change effectively across teams, functions and stakeholders 
- Identify skills gaps, develop talent and choose the right external expertise
With real-world examples in every chapter and clear steps to put each principle into action, The Practical Guide to Digital Transformation helps both mid- and senior-career professionals deliver meaningful improvements, avoid common pitfalls and lead digital initiatives that drive measurable results.
Themes include: digital transformation, digital strategy, innovation strategy, change management, AI and emerging tech, organizational culture, upskilling

Use Technology to Improve Your Business

The Practical Guide to Digital Transformation

County and City Extra Series

The Who, What, and Where of America is designed to provide a sampling of key demographic information. It covers the United States, every state, each metropolitan statistical area, and all the counties and cities with a population of 20,000 or more. 

Who: Age, Race and Ethnicity, and Household Structure
What: Education, Employment, and Income
Where: Migration, Housing, and Transportation

Each part is preceded by highlights and ranking tables that show how areas diverge from the national norm. These research aids are invaluable for understanding data from the ACS and for highlighting what it tells us about who we are, what we do, and where we live.

Each topic is divided into four tables revealing the results of the data collected from different types of geographic areas in the United States, generally with populations greater than 20,000. 
·Table A. States
·Table B. Counties
·Table C. Metropolitan Areas
·Table D. Cities

In this edition, you will find social and economic estimates on the ways American communities are changing with regard to the following:
·Age and race
·Health care coverage
·Marital history
·Education attainment
·Income and occupation
·Commute time to work
·Employment status
·Home values and monthly costs
·Veteran status
·Size of home or rental unit

This title is the latest in the County and City Extra Series of publications from Bernan Press. Other titles include County and City Extra, County and City Extra: Special Decennial Census Edition, and Places, Towns, and Townships.

Understanding the American Community Survey

The Who, What, and Where of America

AI can write the code. You still need to know what it does. You’re already good at Excel. But you’re tired of the copy/paste, the helper columns, and the brittle formulas that break when someone adds a row. You want automation, and whether you write the code yourself or let AI generate it, you need to understand what’s actually running your business processes. Automate Excel with Python teaches you to build real workflows, step-by-step. You’ll read messy workbooks into pandas dataframes, filter and reshape data without helper columns, merge sources without silent VLOOKUP failures, and export polished results with formatting intact. A capstone chapter ties it together: import a multi-tab workbook, generate exception reports, and email the results—all from one script you run with a single click. You’ll learn how to: <ul><li>Read existing Excel files you already use into Python, even the messy ones</li><li>Replace daily copy/paste routines with reusable scripts</li><li>Merge and match data across sources with auditable results</li><li>Handle dates, times, and the edge cases that break formulas</li><li>Export from Python to Excel with column widths, number formats, and frozen panes intact</li><li>Build workflows that run daily without babysitting</li></ul> AI can write the code. This book makes sure you’re the one in control of it.

A Practical Guide for Nonprogrammers

Automate Excel with Python

Shortlisted for the 2026 Unwin Award Longlisted for the 2026 Jhalak Prize Polls show that over fifty per cent of us don't believe racism exists. In a world made for White people, The Science of Racism uses clear scientific research to expose what we know about racism, exactly how we know it, and what we can do about it. 'Charismatic and funny' - The Guardian 'Illuminating, surprising, unnerving, moving' - Sathnam Sanghera 'Short circuits the brain' - The Independent * British police are nine times more likely to use their tasers on Black people. * An item being advertised on eBay will sell for approximately twenty per cent less if a dark-skinned hand is shown in the photos. * Black Caribbean applicants have to apply for around fifty per cent more jobs in order to receive a positive response. Professor Keon West cuts through the divisive anecdotes and rhetoric with decades' worth of science - the data that reveals truths about racism that are shocking and tragic, but also (somehow) funny and entertaining. Whatever you've read before, this book will ensure that you never see racism in the same way again.

Everything you need to know but probably don't - yet

The Science of Racism

Advancements in Intelligent and Sustainable Technologies and Systems

This handbook addresses how smart operations, management, and healthcare can be used to detect and analyze supply chain problems, business problems, and diseases. It also discusses the underlying methodologies and related security concerns.Handbook of Disruptive Technologies: Operations, Business, Management, and Healthcare provides updated and timely insights, unique approaches or frameworks, practical applications, and case studies. It provides in-depth knowledge of disruptive technologies and applies data analytics to different areas to solve complex situations. The handbook uses data analytics in decision-making and policy framing and identifies practices and applications of disruptive technologies that can assist organizations in gaining a competitive advantage. Valuable insights, innovative approaches, practical applications, and case studies can be found in this handbook as it effectively consolidates and synthesizes information to provide a comprehensive understanding of the subject matter.This book is tailored for researchers, academics, and professionals seeking to deepen their knowledge in the field.

Operations, Business, Management, and Healthcare

Handbook of Disruptive Technologies

Statistical skills are essential for analysing data and ensuring optimal business operation and efficiency. In this clear and concise textbook, Les Oakshott and Kathy Kotiadis guide students through key quantitative techniques, from basic maths and statistics through to advanced topics such as hypothesis testing and linear programming. Grounded in the everyday realities of business, this textbook introduces each chapter with an engaging case study to highlight how organisations operationalise these techniques, ranging from the growth of China's economy and a Covid-19 infection survey to goal scoring at Euro 2024 and the effect of global warming on the occurrence of salmonella in Singapore. New to this edition: -Links the UN Sustainable Development Goals to quantitative techniques -Greater emphasis on Excel to enable seamless transition to blended learning approaches -Walk-through videos of key processes hosted on the companion website This is the essential textbook for delivering quantitative methods and business statistics modules to students of mixed maths abilities across undergraduate and postgraduate levels. Accompanying online resources for this title can be found at bloomsbury.pub/essential-quantitative-methods-8e. These resources are designed to support teaching and learning at no extra cost.

for Business, Management and Finance

Essential Quantitative Methods

Tradd Street Press

"Business Annals" is a monumental contribution to the field of quantitative economic history, offering a comprehensive chronological record of business conditions across seventeen countries. Authored by Willard Long Thorp, this work provides an exhaustive analysis of economic cycles, documenting periods of prosperity, recession, depression, and revival from the late 18th century through the first quarter of the 20th century.The text serves as a vital resource for understanding the rhythmic fluctuations of market economies. It meticulously catalogs the sequence of events that define the business cycle, offering researchers a data-rich foundation for macroeconomic theory. By examining the unique economic trajectories of nations such as the United States, Great Britain, France, and Germany, Thorp illuminates the interconnectedness of global markets and the historical patterns of industrial growth.A cornerstone of empirical economics, "Business Annals" remains essential for scholars of financial history and those interested in the evolution of modern business cycles. Its systematic approach to recording economic activity transformed the study of market dynamics, making it a timeless reference for analyzing the structural shifts of the global economy.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you may see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

Business Annals

This comprehensive book explores the evolving landscape of decision-making processes for engineering and IT professionals in increasingly heterogeneous technological environments. It addresses critical gaps in current educational materials by examining how technological advancements, situational awareness challenges, human-machine intelligence integration, and virtual uncertainties impact modern decision-making frameworks. The book provides a complete journey map of decision-making that connects theoretical foundations with practical applications, offering readers a structured approach to navigate complex adaptive systems in our data-driven society.Optimizing Decision-Making in Engineering: A Journey Mapping Perspective includes an in-depth exploration of cognitive and emotional engagements in decision-making, an analysis of how advanced design functionalities influence cognitive biases and heuristics, and an examination of decision-making under virtual conditions where physical touch is absent. It presents analytical tools such as decision trees, Bayesian networks, and multi-criteria decision-making models (AHP, TOPSIS) while incorporating emerging technologies like artificial intelligence, virtual/augmented reality, IoT, and big data analytics. Real-world scenarios, use cases, and strategic frameworks like the Cynefin framework and Roger's model provide a practical context for theoretical concepts.Designed for technology professionals, including CTOs, IT project managers, systems architects, UX directors, and engineering team leads, this resource equips product managers, business analysts, solution architects, and digital transformation consultants with enhanced decision-making capabilities for complex environments. This comprehensive guide delivers particular value for specialized roles such as AI ethics officers, human factors engineers, and digital experience strategists, providing frameworks applicable across autonomous systems, healthcare technology, immersive experiences, retail analytics, and advanced manufacturing operations.

A Journey Mapping Perspective

Optimizing Decision-Making in Engineering

Statistical Practice for Data Science: with Hands-on Illustrations using R is a comprehensive guide designed to equip students from diverse fields-engineering, science, and the biological, physical, and social sciences-with the statistical tools and techniques essential for data science. This book bridges the gap between theoretical concepts and practical applications, offering a clear and accessible introduction to statistics with minimal mathematical prerequisites. With a focus on real-world datasets and hands-on implementation using R, it empowers students to analyze, interpret, and communicate data effectively.The book begins with foundational concepts in probability and statistics, ensuring that students with only college-level algebra can grasp the material. It progresses through key topics such as data visualization, hypothesis testing, regression modeling, and modern machine learning methods like random forests and gradient boosting. Each chapter is enriched with practical examples and coding exercises in R, making it an invaluable resource for students embarking on a data science program.Designed as a one-semester course, the book provides flexibility for instructors to tailor the content to their curriculum. Whether exploring generalized linear models, mixed-effects models, or dependent data analysis, students will gain a deep understanding of statistical methods and their applications across various domains. By the end of the book, readers will be equipped to make informed decisions, quantify uncertainty, and communicate their findings effectively.This book is not just a learning tool-it's a practical companion for aspiring data scientists seeking to master statistical practice and R programming.

With Hands-On Illustrations Using R

Statistical Practice for Data Science

Patterns of Economic Change by State and Area

Patterns of Economic Change by State and Area: Income, Employment, and Gross Domestic Product is a special edition of Business Statistics of the United States. It presents data on personal income, employment, and gross domestic product for the United States as a whole, and by region, state, and metropolitan statistical area (MSA). Data on personal income and employment extends back to 1960 for the states and regions and to 1970 for the MSAs. Patterns of Economic Change complements other Bernan Press titles such as the State and Metropolitan Area Data Book and County and City Extra. In contrast to their predominantly current and detailed cross-section data on states and metropolitan areas, this book contributes historical time-series measurements of key aggregates that show how the economies of regions, states, and metropolitan areas have responded over time to cyclical currents and long-term trends. Statistics at the state level provide a framework for analyzing current economic conditions in each state and can serve as a basis for decision making. For example: ·Federal government agencies use the statistics as a basis for allocating funds and determining matching grants to states. The statistics are also used in forecasting models to project energy and water use. ·State governments use the statistics to project tax revenues and the need for public services. ·Academic regional economists use the statistics for applied research. ·Businesses, trade associations, and labor organizations use the statistics for market research.

Income, Employment, and Gross Domestic Product

Patterns of Economic Change by State and Area 2026

"The Wealth and Income of the People of the United States" is a foundational economic study that examines the distribution of resources and earnings across the American populace during the early 20th century. Authored by Willford Isbell King, this work utilizes rigorous statistical methods to analyze the growth of national wealth and how it is shared among different segments of society. The book delves into complex topics such as the concentration of wealth, the impact of industrialization on income levels, and the comparative economic standing of various social classes.By providing a detailed empirical look at the financial landscape of the United States, King offers insights into the economic forces that shaped the nation. This volume remains an essential resource for researchers and students of economic history, offering a window into the evolution of American prosperity and social inequality. Its systematic approach to data collection and interpretation set an early standard for national income accounting and continues to provide valuable context for understanding historical financial shifts and the development of the modern American economy.This work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you may see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work.This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.

The Wealth and Income of the People of the United States

Attacking the Space

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