Data science and analysis Books

Book Synopsis'Emily Oster is the non-judgemental girlfriend holding our hand and guiding us through pregnancy and motherhood. She has done the work to get us the hard facts in a soft, understandable way' Amy Schumer Parenting is full of decisions, nearly all of which can be agonized over. There is an abundance of often-conflicting advice hurled at you from doctors, family, friends, and strangers on the internet. But the benefits of these choices can be overstated, and the trade-offs can be profound. How do you make your own best decision? Armed with the data, Oster finds that the conventional wisdom doesn't always hold up. She debunks myths and offers non-judgemental ways to consider our options in light of the facts. Cribsheet is a thinking parent's guide that empowers us to make better, less fraught decisions - and stay sane in the years before preschool. *Now you can navigate the primary school years with Emily Oster too, in her new book The Family Firm, out now*Trade ReviewShows that in the hectic haze of parenthood an economist's perspective can prove surprisingly clarifying * Economist *She has crunched all the statistics on breastfeeding, potty training, working mothers and playgroups and discovered there is no optimal set of choices that will produce the perfect child. Most parents say they want happy, well-adjusted, robust kids and there are myriad ways to achieve those results. She's right -- Alice Thomson * The Times *It couldn't be more relevant ... steers clear of recommendations and cast-iron guarantees, instead promising to arm parents with information to make the decisions that are right for them * Daily Telegraph *A huge relief from the scare stories ... Cribsheet is not another call for the end of helicopter parenting or snowplow parenting or whatever kind of parenting is lighting up social media today, and it's not a call to overthrow medical wisdom; it's a call for parenting with context, and it's freeing * Washington Post *Both refreshing and useful. With so many parenting theories driving us all a bit batty, this is the type of book that we need to help calm things down. * LA Times *The Guilt-Free, Data-Driven Guide to Parenting.... uses science and stats to cut through the confusion of raising a family...Smart, relatable, and funny * Bloomberg *PRAISE FOR EMILY OSTER * - *I am so grateful for her work -- Amy SchumerA savior for whipsawed mothers ... Oster shows how data, a scary word, can be a humanizing force ... Enriching this analytical brilliance is the common sense and empathy that come from being a mother herself -- Steven Pinker * TIME's 100 Most Influential People of 2022 *

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Book SynopsisKinsey Li is an accomplished HR leader with 10 years of experience and a proven track record of delivering complex transformation projects both in industry and as a consultant. Based in London, UK, she is Associate Director, HR Analytics and Insights at Ernst and Young (EY). She holds and MBA, a postgraduate certificate in business IT, a postgraduate certificate in business and a BA in commerce.

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Book Synopsis''A necessary book for our times. But also just great fun'' Saul Perlmutter, Nobel LaureateThe world is awash in bullshit, and we''re drowning in it. Politicians are unconstrained by facts. Science is conducted by press release. Start-up culture elevates hype to high art. These days, calling bullshit is a noble act.Based on a popular course at the University of Washington, Calling Bullshit gives us the tools to see through the obfuscations, deliberate and careless, that dominate every realm of our lives. In this lively guide, biologist Carl Bergstrom and statistician Jevin West show that calling bullshit is crucial to a properly functioning social group, whether it be a circle of friends, a community of researchers, or the citizens of a nation. Through six rules of thumb, they help us recognize bullshit whenever and wherever we encounter it - even within ourselves - and explain it to a crystal-loving aunt or casually racist grandfather.Trade ReviewEssential reading. Even if you feel you can trudge through verbal bullsh!t easily enough, this book will give you the tools to swim through numerical snake-oil. . . -- Simon Ings * The Telegraph *A modern classic that is troubling in some places, sobering in others, and enlightening from beginning to end. . . Bergstrom and West leave the reader feeling a very particular kind of smarter: the empowered kind. . . It works anywhere, for anyone: the academic, the citizen-scientist, citizen-skeptic, and citizen-curious * Wired *A helpful guide to navigating a world full of doubtful claims based on spurious data. Using clever anecdotes, nods to online culture and allusions to ancient philosophy, the book tells ordinary readers how to spot nonsense-even if they are not numerical whizzes * The Economist *Each of us now swims through deception so pervasive that we no longer realize it's there. Calling Bullshit presents a master class in how to spot it, how to resist it, and how to keep it from succeeding -- Paul Romer, Nobel LaureateIf I could make this critical handbook's contents required curriculum for every high school student (thus replacing trigonometry), then I would do so. I highly recommend Calling Bullshit for our modern existence in the age of misinformation -- Cathy O’Neil, author of Weapons of Math DestructionThe information landscape is strewn with quantitative cowflop; read this book if you want to know where not to step -- Jordan Ellenberg, author of How Not to be WrongI laughed, I cried -- to read Bergstrom and West's great examples of 'bullshit.' This is a gripping read for anybody who cares about how we are fooled (and how not to be), and the connection to numeracy and science. But it's also just great fun. This is a necessary book for our times -- Saul Perlmutter, Nobel Laureate

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Book Synopsis''A statistical national treasure'' Jeremy Vine, BBC Radio 2''Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force'' Popular ScienceDo busier hospitals have higher survival rates? How many trees are there on the planet? Why do old men have big ears? David Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science.Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way statistical claims can be sensationalised, particularly in the media. In the age of big data, as data science becomes established as a discipline, a basic grasp of statistical literacy is more important than ever. In The Art of Statistics, David Spiegelhalter guides the reader through the essential principles we need in order to derive knowledge from data. Drawing on real world problems to introduce conceptual issues, he shows us how statistics can help us determine the luckiest passenger on the Titanic, whether serial killer Harold Shipman could have been caught earlier, and if screening for ovarian cancer is beneficial. ''Shines a light on how we can use the ever-growing deluge of data to improve our understanding of the world'' NatureTrade ReviewDavid Spiegelhalter is probably the greatest living statistical communicator; more than that, he's one of the great communicators in any field. This marvellous book will transform your relationship with the numbers that swirl all around us. Read it and learn. -- Tim HarfordThere is something in here for everyone ... A call to arms for greater societal data literacy ... Spiegelhalter's work serves as a reminder that there are passionate, self-aware statisticians who can argue eloquently that their discipline is needed now more than ever. * Financial Times *Shines a light on how we can use the ever-growing deluge of data to improve our understanding of the world . . . The Art of Statistics will serve students well. And it will be a boon for journalists eager to use statistics responsibly - along with anyone who wants to approach research and its reportage with healthy scepticism. * Nature *What David Spiegelhalter does here is provide a very thorough introductory grounding in statistics without making use of mathematical formulae. And it's remarkable. Spiegelhalter is warm and encouraging - it's a genuinely enjoyable read ... This book should be required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force. * Popular Science *The Art of Statistics is in the great educational tradition of its publishing imprint, Pelican Books: an attempt to get everyone up to speed with the practical uses of statistics, without pages of terrifying equations or Greek letters. In a series of spry, airy chapters, he succeeds fabulously ... Lucid and readable. In an age of scientific clickbait, 'big data' and personalised medicine, this is a book that nearly everyone would benefit from reading. * Spectator *Important and comprehensive -- Hannah Fry * New Yorker *This is an excellent book. Spiegelhalter is great at explaining difficult ideas . . . Yes, statistics can be difficult. But much less difficult if you read this book. * Evening Standard *Like the fictional investigator Sherlock Holmes, Spiegelhalter takes readers on a trail to challenge methodology and stats thrown at us by the media and others. But where other authors have attempted this and failed, he is inventive and clever in picking the right examples that spark the reader's interest to become active on their own. * Engineering and Technology *Do you trust headlines telling you . . . that bacon, ham and sausages carry the same cancer risk as cigarettes? No, nor do I. That is why we need a book like this that explains how such implausible nonsense arises in the first place. Written by a master of the subject . . . this book tells us to examine our assumptions. Bravo. * Standpoint *

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Book SynopsisTHE NEW YORK TIMES BESTSELLERAN ECONOMIST BOOK OF THE YEARA NEW STATESMAN BOOK OF THE YEAR''This book is about a whole new way of studying the mind ... Endlessly fascinating'' Steven Pinker''A whirlwind tour of the modern human psyche'' EconomistEverybody lies, to friends, lovers, doctors, pollsters and to themselves. In Internet searches, however, people confess the truth.Insightful, funny and always surprising, Everybody Lies explores how this huge collection of data, unprecedented in human history, could just be the most important ever collected. It offers astonishing insights into the human psyche, revealing the biases deeply embedded within us, the questions we''re afraid to ask that might be essential to our well-being, and the information we can use to change our culture for the better.Trade ReviewTime and again my preconceptions about my country and my species were turned upside-down by Stephens-Davidowitz's discoveries -- Steven Pinker, author of The Better Angels of Our NatureAbsorbing and impassioned ... as an introduction to our fascinating new universe of data, Everybody Lies is hard to beat * Financial Times *Everybody Lies is an astoundingly clever and mischievous exploration of what big data tells us about everyday life. Seth Stephens-Davidowitz is as good a data storyteller as I have ever met -- Steven Levitt, co-author, FreakonomicsMove over Freakonomics. Move over Moneyball. This brilliant book is the best demonstration yet of how big data plus cleverness can illuminate and then move the world. Read it and you'll see life in a new way -- Lawrence Summers, President Emeritus of Harvard UniversityA whirlwind tour of the modern human psyche … The empirical findings in Everybody Lies are so intriguing that the book would be a page-turner even if it were structured as a mere laundry list * Economist *Everybody Lies relies on big data to rip the veneer of what we like to think of as our civilized selves. A book that is fascinating, shocking, sometimes horrifying, but above all, revealing -- Tim Wu, author of The Attention MerchantsFreakonomics on steroids - this book shows how big data can give us surprising new answers to important and interesting questions. Seth Stephens-Davidowitz brings data analysis alive in a crisp, witty manner, providing a terrific introduction to how big data is shaping social science -- Raj Chetty, Professor of Economics at Stanford UniversityA sobering guide to how much of ourselves we're putting online and what private companies might do with that information -- Helen Lewis * New Statesman 'Books of the Year' *Everybody Lies is a spirited and enthralling examination of the data of our lives. Drawing on a wide variety of revelatory sources, Seth Stephens-Davidowitz will make you cringe, chuckle, and wince at the people you thought we were -- Christian Rudder, author of DataclysmA tour de force - a well-written and entertaining journey through big data that, along the way, happens to put forward an important new perspective on human behaviour itself -- Peter Orszag, Managing Director, LazardBrimming with intriguing anecdotes and counterintuitive facts, Stephens-Davidowitz does his level best to help usher in a new age of human understanding, one digital data point at a time -- Fortune, Best New Business BooksStephens-Davidowitz, a former data scientist at Google, has spent the last four years poring over Internet search data . . . What he found is that Internet search data might be the Holy Grail when it comes to understanding the true nature of humanity * New York Post *It’s a wonderful book, but I would say that, wouldn’t I? -- Danny DoyleStephens-Davidowitz censures academics and other researchers for ignoring the largest data set ever collected, and he is probably not overstating it when he claims that the continuing study of these searches “will radically expand our understanding of mankind”. This undemanding book is a useful first step towards that knowledge’ -- Oliver Thring * Sunday Times *Seth Stephens-Davidowitz in his book “Everybody Lies,” tackles the discrepancy between the ideal version of ourselves we present to the world via social media and the confessions that we would never post there -- Judy Ketteler * International New York Times *

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Book SynopsisTHE THOUGHT BOOK OF THE YEAR, THE TIMESA GUARDIAN BOOK OF THE YEAR''Game of Thrones-style intra-elite conflict meets big data'' TLS''Extraordinary. . . the culmination of many years of highly original and innovative work'' BloombergOne of the most iconoclastic thinkers of our time offers a brilliant new theory of how society works What leads to political turbulence and social breakdown? How do elites maintain their dominant position? And why do ruling classes sometimes suddenly lose their grip on power?For decades, complexity scientist Peter Turchin has been studying world history like no-one else. Assembling vast databases mined from 10,000 years of human activity, and then developing new models, he has transformed the way we learn from the past. End Times is the result: a ground-breaking account of how society works.The lessons, he argues, are clear. When the balance of power between the ruling class and the majority tips too far in favour of elites, income inequality surges. The rich get richer, the poor further impoverished. As more people try to join the elite, frustration with the establishment brims over, often with disastrous consequences. Elite overproduction led to state breakdown in imperial China, in medieval France, in the American Civil War - and it is happening now.But while we are far along the path toward violent political rupture, Turchin''s models also light the way to a brighter future. Drawing insight from those occasions in history where the balance was restored, End Times also points towards a different future: an escape from the patterns of the past.BEST BOOKS OF SUMMER 2023: THE GUARDIAN * THE TIMES * SUNDAY TIMES

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Book SynopsisShortlisted for the William Hill Sports Book of the Year Award 2022Football has always measured success by what you win, but only in the last twenty years have clubs started to think about how you win. Data has now suffused almost every aspect of how football is played, coached, scouted and consumed. But it's not the algorithms or new metrics that have made this change, it's the people behind them.This is the story of modern football's great data revolution and the group of curious, entrepreneurial personalities who zealously believed in its potential to transform the game. Central to this cast is Chris Anderson, an academic with no experience in football, who saw data as an opportunity to fundamentally change a sport that did not think it could be changed. His aim: to infiltrate the strange, insular world of professional football by establishing a club whose entire DNA could be built around data.Expected Goals charts his remarkable journey into the heart of the modern game and reveals how clubs across the world, from Liverpool to Leipzig and Brentford to Bayern Munich, began to see how data could help them unearth new players, define radical tactics and plot their path to glory.

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Book SynopsisCoach your organization for data-driven change and condition it to attain excellence in its data capabilities, mindset and performance with this guide for data leaders.

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Book Synopsis''Eye-opening. An essential read for any football fan'' Jamie CarragherxGenius takes a tour of the world's most pioneering football clubs, uncovering how elite teams are using xG to win more matches. Any club not adopting this model will be left behind.The concept of Expected Goals or xG has changed how we understand football. Every fan will have heard of xG, many will understand what it is, but few will know exactly how it's being used by football teams to improve their chances of winning matches.xGenius explores the interplay between analysis, tactics and decision-making. It seeks to put the sport of football under the microscope with the aim of getting closer to the ultimate truth of what makes players, managers and teams successful. What, ultimately, wins matches.The book looks at the model which every club should adopt, one which has allowed teams like Liverpool, Arsenal, Brighton and Brentford to punch well above their fi

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Book SynopsisJonathan Ferrar is a globally recognised consultant, speaker and business advisor in HR strategy and analytics. He is chief executive officer of global people analytics firm Insight222, and board advisor to the Chartered Institute of Personnel & Development.David Green is an influencer, advisor and prolific speaker in the field of people analytics, human resources technology and the future of work. He is managing partner at Insight222 and host of the Digital HR Leaders podcast. In 2023 he was named as one of the Most Influential HR Thinkers by HR Magazine.Trade Review"In this book, cutting-edge practitioners share insights that you can start putting into action right away."" * Adam Grant, #1 New York Times bestselling author of THINK AGAIN and host of the TED podcast, WorkLife *"Exceptional and the standard for people analytics" * Dave Ulrich, Rensis Likert Professor, School of Business, University of Michigan Partner, The RBL Group *"A superb book with practical case studies applicable to every HR professional and business leader in the use of data analytics towards better decision making."" * Low Peck Kem, Chief Human Resources Officer, Public Service Division, Prime Minister’s Office, Singapore *"Filled with topical case studies that can support any people analytics and HR team in their pursuit of creating enterprise value." * Loren I. Shuster, Chief People Officer & Head of Corporate Affairs, The LEGO Group *"HR is closer to the business than ever, and this book shows how people analytics is a business activity that drives substantial value." * Katarina Berg, Chief Human Resources Officer, Spotify *"There is a need for companies to become more human in our increasingly digital age. I have found, as a CHRO, that analytics provides equal benefit to both employees and the business, and Excellence in People Analytics dovetails these two very well. Using analytics is clearly one of the most valuable tools for becoming more human, enabling personalization and consumerisation of the employee experience." * Leena Nair Chief Human Resources Officer, Unilever *"People analytics provides business executives with another lever to improve their strategy and operations. Jonathan and David have a deep understanding of this topic and its impact on people and performance. Their work with companies across the globe is now captured in this book, providing insight with a collection of terrific case studies and practical advice. It is an outstanding guide for executives wishing to create value using people analytics." * John Boudreau, Professor Emeritus, Marshall School of Business, University of Southern California *"Excellence in People Analytics is a delightful journey of discovery through the field of people analytics with 30 vivid case studies and practical models. Businesses have recognized that workforce data can unleash the potential of talent and create value for the company. Yet people analytics is one of the biggest capability gaps for organizations. This book inspires me and is a great guide to implement people analytics beyond the 'buzz' term." * Rosa Lee, Executive Vice President of Bosch China & Corporate HR, Head of Asia-Pacific *"Excellence in People Analytics will equip HR leaders and practitioners with the structures and use cases they need to keep up with technology and learn new skills. I have little doubt that this book will define HR's contribution to the workplace of the future." * Bernard Marr, Bestselling author of Data Strategy and Data-Driven HR, futurist and strategic advisor *"Brilliantly insightful, yet practically impactful. This is a foundational book in the field of people analytics that emphasizes a business-first approach for elevating human performance. The nine dimensions for success are complemented with powerful cases that will empower any practitioner to apply these concepts." * Michael J. Arena, VP Talent & Development, AWS and author of Adaptive Space *Table of Contents Section - PART ONE: The case for people analytics; Chapter - 00: Introduction; Chapter - 000: The business value of people analytics; Section - PART TWO: Nine Dimensions for Excellence in People Analytics; Chapter - 01: Governance; Chapter - 02: Methodology; Chapter - 03: Stakeholder Management; Chapter - 04: Skills; Chapter - 05: Technology; Chapter - 06: Data; Chapter - 07: Workforce Experiences; Chapter - 08: Business Outcomes; Chapter - 09: Culture; Section - PART THREE: The next steps for people analytics; Chapter - 10: Transforming people analytics; Chapter - 11: Epilogue - the future of people analytics; Chapter - 12: Concluding remarks; Chapter - 13: Glossary; Chapter - 14: Index

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Book SynopsisTHE NEW BOOK FROM THE BESTSELLING AUTHOR OF EVERYBODY LIES 'Don’t Trust Your Gut is a tour de force — an intoxicating blend of analysis, humor, and humanity' DANIEL H. PINK 'Seth Stephens-Davidowitz is an expert on data-driven thinking, and this engaging book is full of surprising, useful insights for using the information at your fingertips to make better decisions' ADAM GRANT Big decisions are hard. We might consult friends and family, read advice online or turn to self-help books for guidance, but in the end we usually just do what feels right. But what if our gut is wrong? As economist and former Google data scientist Seth Stephens-Davidowitz argues, our gut is actually not that reliable – and data can prove this. In Don’t Trust Your Gut, he unearths the startling conclusions that the right data can teach us about who we are and what will make our lives better. Over the past decade, scholars have mined enormous datasets to find remarkable new approaches to life’s biggest self-help puzzles, from the boring careers that produce the most wealth, to old-school, data-backed relationship advice. While we often think we know how to better ourselves, the numbers, it turns out, disagree. Telling fascinating stories through the latest big data research, Stephens-Davidowitz reveals just how wrong we really are when it comes to improving our lives, and offers a new way of tackling our most consequential choices.Trade ReviewSeth Stephens-Davidowitz is more than a data scientist. He is a prophet for how to use the data revolution to reimagine your life. Don’t Trust Your Gut is a tour de force – an intoxicating blend of analysis, humor, and humanity -- Daniel H. Pink, #1 New York Times bestselling authorThis must-read book is packed with helpful discoveries you can use to improve your life, and each is grounded in data. It’s also a page-turner – Seth Stephens-Davidowitz is a smart, witty writer with an extraordinary ability to make charts and statistics engrossing -- Katherine Milkman, author of HOW TO CHANGEThere are two ways to look at big data: as a threat to your intuition or as a resource to test your intuition. Seth Stephens-Davidowitz is an expert on data-driven thinking, and this engaging book is full of surprising, useful insights for using the information at your fingertips to make better decisions -- Adam Grant, #1 New York Times bestselling author of THINK AGAINHow can you look your best? Who should you marry? What makes a good parent? Are you too old to start a business? How can you get rich? What would make you happy? Would you read a book that helps you answer even one of these questions? Seth Stephens-Davidowitz delivers: a cross between Freakonomics and How to Win Friends and Influence People, Don’t Trust Your Gut is your guide for reliable data-driven hacks to get an edge in life -- Ian Bremmer, president and founder of Eurasia GroupSeth Stephens-Davidowitz’s book is a brilliant and clever look into the critical importance of making data-informed decisions for a data-first organization. His truly game-changing approach provided a pivotal moment for me as a leader and his insightful yet humorous writing style is sure to do the same for many others -- Mindy Grossman, CEO of Weight WatchersI love the way Seth Stephens-Davidowitz explains how we can better live our lives by exploiting the small advantages in life. On the basketball court, I made a career out of finding these types of minor advantages, and I’ve found that most successful individuals in life value the accumulation of small advantages. In the end, they add up to significant life benefits -- Shane Battier, two-time NBA Champion basketball player for the Miami HeatStephens-Davidowitz maintains a breezy, conversational style that lends a lighthearted touch to all the wonkery. Whether confirming or debunking conventional wisdom, the smooth presentation and quantitative detail bring a welcome analytical rigor to the self-help genre * Publishers Weekly *

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Book SynopsisJordan Morrow is known as the "Godfather of Data Literacy", having helped pioneer the field by building one of the world's first data literacy programs. He is the founder and CEO of Bodhi Data, served as the Chair of the Advisory Board for The Data Literacy Project and has helped companies and organizations around the world, including the United Nations, build and understand data literacy. Morrow is the author of three books: Be Data Literate, Be Data Driven, and Be Data Analytical, all published by Kogan Page. He is based near Salt Lake City, Utah.Trade Review"Jordan Morrow has done it again. This flows on perfectly from his first book, Be Data Literate, and creates a realistic and achievable pathway for organizations to become data driven. And, of course, at the center of it is people-a man after my own data heart! I hope that wasn't a spoiler alert..." * Susan Walsh, The Classification Guru and author of Between the Spreadsheets *"Understanding the basics of data science and AI is key to succeeding today. This book provides key insights into preparing better for a more data-driven future. A fascinating read for anyone looking to stay on top of how data science is revolutionizing just about everything. Jordan Morrow has done an amazing job taking a complex topic and synthesizing it for all to understand. Highly recommended." * Manuj Aggarwal, Founder and Chief Innovation Officer, TetraNoodle *"Jordan Morrow delivers a great follow-up to his first book, Be Data Literate. The phrase 'data driven' has evolved into a meaningless term and hollow buzzword through misuse and misunderstanding. With his new book, Jordan helps us understand what it actually means and why it matters. He then offers a simple, practical approach to help companies get there. For organizations and leaders who know there is value in their data but have struggled to unleash it, this is the book for you." * Brian Ferris, Chief Data, Analytics and Technology Officer, Loyalty NZ *"One of the pioneers in the field of data." * Jimmy Rex, investor, author and podcast host of The Jimmy Rex Show *"Jordan Morrow is a true authority on data literacy and the opportunity for organizations that want to become data driven. In this book, he covers all the critical ingredients organizations need to become truly data driven in a world that's been transformed by the Covid-19 pandemic. His second book is a great guide for leaders and practitioners alike and provides the necessary tools for transforming your business into a data-driven powerhouse." * Eva Murray, Lead Evangelist EMEA, Snowflake *"Jordan Morrow has followed his brilliant first book, Be Data Literate, with this masterpiece. It's a comprehensive and insightful book in which he shares his passion and experience in the data space to give everyone the power to harness the true power of data." * Bernard Marr, best-selling author, futurist, business and technology adviser *"This book aims high, with strong data culture principles and data literacy foundations, while maintaining significant focus on the strategy that guides data initiatives to successful completion and mission success. Failure is not an option in this data-intensive world. Be Data Driven is an excellent launchpad and mission guidebook for your organization's data-driven journey." * Kirk Borne, Chief Science Officer, DataPrime *"Jordan Morrow writes brilliantly, engages with the reader and, most crucially, demystifies the world of data and analytics. It all makes sense, even for those not familiar with the subject or struggling to understand. This book is a terrific start and for those passionate about business and success, essential!" * Mike Roe, CEO, Tensense.ai *Table of Contents Section - ONE: Foundational; Chapter - 01: A data-driven world; Chapter - 02: The impact of Covid-19 on organizations and data; Chapter - 03: Technologies advancing data and analytics, and the need for the human element; Chapter - 04: What is a data-driven organization?; Section - TWO: Gaps; Chapter - 05: Foundational skills gaps; Chapter - 06: Pillars of an organizational data strategy; Chapter - 07: The gap in leadership; Chapter - 08: The biggest hurdle: culture; Section - THREE: Building your data-driven organization; Chapter - 09: Decide your outcome; Chapter - 10: Build your strategy; Chapter - 11: Be data driven—start your journey!; Chapter - 12: References

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Book SynopsisThe Ultimate Power Query Cookbook for Power BI and Excel serves up easy-to-follow recipes that transform data into meaningful insights. You will learn to clean messy files, combine datasets, and even use AI magic to Power BI and Excel. This book will walk you through the basics of getting connected to data with Power Query. You will understand how to ingest data from files, folders, databases, websites, APIs, and other third party sources. Once connected, you will learn how to transform the data so it is ready for your use. We will clean up columns, filter, replace, extract, and classify data in Power Query to meet your needs. The book offers over 100 practical recipes, ensuring you understand each step with clear explanations and examples.

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Book SynopsisMaster complex problems and face radical uncertainty by unleashing the power of small data　 Is your business using data to its optimum potential? In complicated well-structured problem situations, executives rely on Big Data. However, when faced with complexity and uncertainty they are challenged to skillfully handle Small Data. Leading by Weak Signals argues that impending dangers, new business opportunities or innovative ideas may be missed when data are classified as simply not "big enough."　　 This insightful book with its new approach initiates a radical shift in perspective from running the business to changing the business. While Big Data are very well suited to run a business efficiently, Small Data lay open phenomena which are connected to transforming a company, like inflection points, scale changes, or critical transitions.　 The authors present practical business examples and an 8-step framework to implement their ideas in teams and on the individual level. This offers reflective practitioners a guideline for leveraging the enormous potential of weak signals for effective strategy development and operational execution in times of uncertainty – and gives them the competitive edge they need to succeed.

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Book SynopsisBernard Marr is one of the leading voices in Technology and Innovation. A futurist and strategic performance consultant, he has advised many of the world's best-known organizations on their business and data strategies. A frequent keynote speaker, he also writes on the topic of data and analytics for various publications including Forbes and the Huffington Post. Bernard Marr is also the author of Data Strategy (2021) and The Intelligence Revolution (2020) published by Kogan Page.Trade Review"Without a doubt human capability (talent + leadership + organization + HR) increasingly delivers value to all stakeholders. This excellent book provides business and HR leaders the information required to improve decision making. Bernard's insights on analytics and AI will be the keys for progress." * Dave Ulrich, Rensis Likert Professor, Ross School of Business, University of Michigan Partner, The RBL Group *"If anyone was going to publish a book about the impact of the latest technology developments such as AI on the field of HR and People Analytics my bets were on Bernard Marr. And you won't be disappointed. The book offers a deep dive into the world of data of every kind, every possible use case, honest overview of technology and important considerations. It has never been more critical to educate ourselves about it." * Maja Luckos, VP, Employee Success, Salesforce *"This book propelled me into a world of possibilities for HR leaders in embracing the 'intelligence revolution' to shape people strategies that add value to their organizations and their people. It's enlightened me to the power of AI-enabled HR and how I might use it, and it's made me want to learn more. This is a must read for all HR leaders." * Linda Sleath, Group HR Director, Topps Tiles Plc. *"Data-Driven HR strikes a nice balance between exploring emerging trends in people analytics while primarily serving as a practical guide to HR professionals at any stage of their data journey. The second edition seamlessly weaves AI into a narrative that's easy to engage with and is packed full of examples that bring the theories to life." * Mark Ferrie, People Analytics Director, Meta *"Data-Driven HR is a terrific overview of the enormous world of people analytics and AI. For people trying to understand this important space, this book shows you the way." * Josh Bersin, Global Industry Analyst and CEO of The Josh Bersin Company *"Data, analytics and AI provides to elevate HR from its traditional role as a support function to one of a strategic partner creating value for the enterprise, its customers and its employees. There's a well-thumbed copy of the first edition of Data Driven HR on my bookshelf, and in this timely update Marr, one of the most knowledgeable people on the topic, explains how data and AI can enable HR to drive better decision making about people, deliver an enhanced service to employees; and make HR processes more efficient." * David Green, Managing Partner at Insight222, co-author of Excellence in People Analytics, and host of the Digital HR Leaders podcast. *"Bernard Marr has once again delivered an indispensable guide to harnessing the power of data, analytics and AI in HR. This updated edition thoroughly captures the latest innovations shaping human resources while still being accessible for HR professionals at any level. Through compelling examples and clear frameworks, Marr demonstrates how to drive business value through evidence-based talent practices. This is a must-read playbook for any HR leader looking to build capabilities in data-driven decision-making." * Professor Max Blumberg, PhD, University of Leeds *"This is a great guide for HR professionals who are grappling with the transition to becoming data led. It's easy to read, and with real examples and case studies across the employee lifecycle, it's also a pragmatic resource to have in your HR toolkit." * Ashish Sinha Korn Ferry Head of People Analytics, AI & Strategy EMEA Practice Leader *"AI is transforming the world of work and our personal lives. With a people-centric approach, Bernard Marr demystifies data driven AI enabled HR with context, thought provoking insights and examples of AI at the time this book was written. We all have a role to play when it comes to this rapidly evolving space as the output of AI will be a reflection of our culture and values. Staying on top of leading practices, lessons learned, emerging regulations and standards is critical so we can unlock AI's potential and value add to the business, our customers and employees while minimizing risk. This book sets the foundation so we can do just that!" * Terilyn Juarez Monroe, Terilyn Juarez Monroe, Chief People Officer *"Data-Driven HR is an indispensable resource for Career Services professionals looking to equip their students with cutting-edge strategies in today's competitive job market. This comprehensive book offers invaluable insights into recruitment and candidate selection, employer branding, pinpointing the most effective recruitment channels, and harnessing AI-enhanced automation to identify and assess the best candidates for businesses. It's a game-changer for career advisors committed to empowering their students with the knowledge and skills needed to excel in the evolving world of talent acquisition and HR." * Dr. Amber Wigmore Álvarez, Associate Professor, IE Business School and IE University *Table of Contents Chapter - 00: Preface; Section - ONE: Data, Analytics and AI in HR; Chapter - 01: How data and AI are transforming HR; Chapter - 02: How data and AI have come to revolutionise HR; Chapter - 03: The Data, Analytics and AI tools available to HR; Section - TWO: Data-Driven and AI-enabled HR in Practice; Chapter - 04: Better HR insights and decision-making; Chapter - 05: Recruitment and candidate selection; Chapter - 06: Employee Onboarding; Chapter - 07: Performance Monitoring and Management; Chapter - 08: Employee Training and Development; Chapter - 09: Performance monitoring and management; Chapter - 10: Identify the use cases; Chapter - 11: Building skills and aligning culture; Section - THREE: Making data-driven and AI enabled HR happen; Chapter - 12: Identifying the use cases for your organization; Chapter - 13: The future of HR

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Book Synopsis'A superb romcom, with relatable and loveable characters that literally burst from the pages. With laugh-out-loud moments, woven between a heartwarming and hopeful story, it charmed me from the first page'Carmel HarringtonTrue love is only just a swipe away? Right?Iris lives by numbers. The only thing missing from her perfectly calibrated life is a partner - and not for lack of trying. After decades of disappointment, Iris practically has a PhD in online dating. But something still eludes her: that unquantifiable spark.Kim is too busy being the life of the party to look for love. Her terrible dates make great stories for her friends and co-workers, as long as she's not caught by her tyrannical boss, Iris.Connie, Kim's recently widowed mum, is single for the first time since the 1970s. The dating game has changed a lot since her day . . .Sick of being let down, Iris takes matters into her own hands - using her analytical skills to create the first real formula for love. With Kim and Connie on board, they launch Analyzed, a dating app like no other.As Analyzed takes the world by storm, are the three women in over their heads? Is love really just a numbers game?'A laugh on every page, entirely empathetic characters and a warm heart in the middle of the story. I found this book highly entertaining and totally satisfying' Liz NugentPraise for Claudia Carroll:'Brilliantly funny' Sun'An immensely talented writer' Sinéad Moriarty'Brilliant' Bella

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Book SynopsisTom Ollerton is the founder of Automated Creative, the creative effectiveness platform who have optimised over 6 billion impressions globally for companies such as MARS, P&G, Diageo and McDonalds. Based in London, UK, he is the host of the Shiny New Object podcast and Advertisers Watching Ads series. He has appeared at MAD//Fest for the last 3 years and was a Juror for the World Federation of Advertisers Marketer of the Year Award 2023. He has spoken at conferences such as Performance Marketing World Unlocked, AdWeek and Social Media Week and is a popular podcast guest.

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Book SynopsisThe mathematical theory of tangles, the centrepiece of the celebrated Robertson-Seymour theory of graph minors, finds precise structure in imprecise data. Assuming only basic undergraduate mathematics, this book shows how tangles can identify, relate, and structure types in data: of behaviour, political views, texts, or proteins.

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Book SynopsisUser-friendly guide to help design research about how and why social networks matter.Focused on political scientists with applications across the social sciences, this book will get researchers building a theory, designing a strategy to collect data, preparing the data for analyses, conducting preliminary analyses, and planning the next steps.

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Book SynopsisHow can you carry out discourse analysis using corpus linguistics? What research questions should I ask? Which methods should you use and when? What is a collocational network or a key cluster? Introducing the major techniques, methods and tools for corpus-assisted analysis of discourse, this book answers these questions and more, showing readers how to best use corpora in their analyses of discourse. Using carefully tailored case studies, each chapter is devoted to a central technique, including frequency, concordancing and keywords, going step by step through the process of applying different analytical procedures. Introducing a wide range of different corpora, from holiday brochures to political debates, the book considers the key debates and latest advances in the field. Fully revised and updated, this new edition includes:- A new chapter on how to conduct research projects in corpus-based discourse analysis- Completely rewritten chapters on collocation and advanced techniTrade ReviewBaker (Lancaster University, UK) looks at how corpora (computerized collections of naturally occurring language samples) can be used for discourse analysis. The book has four particular strengths. First, the author explains corpus methodologies thoroughly, including frequency and dispersion, concordances, collocates, and keyness. Second, the grounds his explanations in concrete analyses of discourse used in tourism brochures, fox-hunting debates, and news articles on refugees (among other texts), thereby offering exemplars of the methodology; included are several tabular examples of analysis. And fourth, he explores the strengths and limitations of corpus analysis, explaining the need for self-reflection with respect to methodological decision-making. An excellent guide to the scope and method of corpus linguistics as applied to discourse analysis, this book on research methods will be valuable to those in linguistics, rhetoric and communication, literary theory and other humanities fields. * Choice Reviews (of the first edition) *Is a necessity for any researcher, practitioner or student interested in the interplay of content, discourse and corpus linguistics. It is a practical, hands-on guide that articulately explores the complex workings of corpora building and analysis. It is a valuable contribution for both the novice exploring the field and the more experienced scholar aiming to refresh their understanding of this ever-growing, ever-evolving discipline. * Discourse Studies (of the first edition) *Corpus methodologies have a huge potential for use in discourse studies, and Paul Baker has written a superb introduction that combines common sense and academic expertise. As a practical 'how-to' advisor he provides an accessible explanation of the key technical and interpretative issues. As an advocate of innovation, he is sensitive to the priorities and the research paradigms of both the discourse analyst and the corpus linguist. This is a splendid book that will inspire a new generation of research. -- Professor Susan Hunston, Department of English, University of Birmingham (of the first edition)We are given examples of research which demonstrate the various techniques and these can be intriguing...Using Corpora in Discourse Analysis should indeed build bridges, for those who are not already using them, but it will also be useful to anyone interested in language as it is used in texts...the generative nature of the techniques should be stimulating for all those who monitor language use... -- Alison Duguid * Times Literary Supplement (of the first edition) *If you want to know what corpus linguistics can offer to sociolinguists interested in the relationship between language and gender, this book is the answer. I found it hard to put down. Written in a wonderfully accessible style, it provides detailed examples of the challenging questions, messy data, and satisfying, though often approximate, answers that corpus linguistics can provide. It confronts researchers with the real nitty-gritty of the challenges and rewards of each step of a corpus linguistics project. Researchers and students will both find it invaluable. -- Janet Holmes, Professor of Linguistics, Victoria University of Wellington, New Zealand (of the first edition)One of the best introductory texts on corpus assisted discourse analysis currently available. Baker expertly embeds concrete examples of critical data analysis within wider discussion of methodological choices, using a range of corpus tools. Readers will find the step by step guides particularly useful, along with Baker’s inimitable clear and engaging writing style. -- Valerie Hobbs, Senior Lecturer in Applied Linguistics, University of Sheffield, UKThis new edition combines clear explanations of key corpus concepts with significantly updated chapters. Highlighted throughout are the technological advancements in corpus tools as they are applied to contemporary research questions. Once again, Baker’s extensive expertise provides an invaluable resource for integrating discourse and corpus methodologies in linguistic research. -- Tammy Gales, Associate Professor of Linguistics, Hofstra University, USATable of Contents1. Introduction 2. The First Stages 3. Corpus Building and Annotation 4. Frequency and Dispersion 5. Concordances 6. Collocates 7. Keyness 8. Beyond Collocation 9. What Comes Next? Bibliography Index

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Book SynopsisA year of HBR's essential thinking on tech—all in one place.Easy-to-use AI tools, contactless commerce, crypto for business, the mature metaverse—new technologies like these are reshaping organizations at the hybrid office, on factory floors, and in the C-suite. What should you and your company be doing now to take advantage of the new opportunities these technologies are creating—and avoid falling victim to disruption? The Year in Tech 2023: The Insights You Need from Harvard Business Review will help you understand what the latest and most important tech innovations mean for your organization and how you can use them to compete and win in today's turbulent business environment.Business is changing. Will you adapt or be left behind?Get up to speed and deepen your understanding of the topics that are shaping your company's future with the Insights You Need from Harvard Business Review series. Featuring HBR's smartest thinking on fast-moving issues—blockchain, cybersecurity, AI, and more—each book provides the foundational introduction and practical case studies your organization needs to compete today and collects the best research, interviews, and analysis to get it ready for tomorrow.You can't afford to ignore how these issues will transform the landscape of business and society. The Insights You Need series will help you grasp these critical ideas—and prepare you and your company for the future.

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Book Synopsis'A superb romcom, with relatable and loveable characters that literally burst from the pages. With laugh-out-loud moments, woven between a heartwarming and hopeful story, it charmed me from the first page'Carmel HarringtonTrue love is only just a swipe away? Right?Iris lives by numbers. The only thing missing from her perfectly calibrated life is a partner - and not for lack of trying. After decades of disappointment, Iris practically has a PhD in online dating. But something still eludes her: that unquantifiable spark.Kim is too busy being the life of the party to look for love. Her terrible dates make great stories for her friends and co-workers, as long as she's not caught by her tyrannical boss, Iris.Connie, Kim's recently widowed mum, is single for the first time since the 1970s. The dating game has changed a lot since her day . . .Sick of being let down, Iris takes matters into her own hands - using her analytical skills to create the first real formula for love. With Kim and Connie on board, they launch Analyzed, a dating app like no other.As Analyzed takes the world by storm, are the three women in over their heads? Is love really just a numbers game?'A laugh on every page, entirely empathetic characters and a warm heart in the middle of the story. I found this book highly entertaining and totally satisfying' Liz NugentPraise for Claudia Carroll:'Brilliantly funny' Sun'An immensely talented writer' Sinéad Moriarty'Brilliant' BellaTrade ReviewA superb romcom, with relatable and loveable characters that literally burst from the pages. With laugh-out-loud moments, woven between a heartwarming and hopeful story, it charmed me from the first page. In short, I couldn't put it down, the perfect summer read! * Carmel Harrington *A laugh on every page, entirely empathetic characters and a warm heart in the middle of the story. I found this book highly entertaining and totally satisfying * Liz Nugent *

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Book SynopsisBowei Chen is Associate Professor of Marketing Analytics and Data Science at the Adam Smith Business School, University of Glasgow, UK. He is also the Programme Director of the MSc in Finance and Management and an ESRC IAA Reviewer. Gerhard Kling is Professor in Finance at the University of Aberdeen, UK. He has worked in higher education for over 18 years (SOAS, University of Southampton, UWE, Utrecht University).

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Book SynopsisThis isthedefinitive guide to doing constructivist grounded theory.From gathering rich data and conducting interviews, to undertaking coding and writing up your study, this down-to-earth book guides you through all the steps you need to do grounded theory research.This revised third edition: Showcases 9 new case studies of grounded theory research in action from scholars across the globe, including Australia, Canada, Japan and the United States. Enables you to see, at a glance, how each chapter will develop your understanding with new learning objectives. Supports you to expand your knowledge with new further reading suggestions in every chapter. Retaining Kathy Charmaz's characteristic warm and accessible style, this book is essential reading for anyone - undergraduate, postgraduate or researcher - looking to understand and do grounded theory research.

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Book Synopsis Andrea De Mauro is currently Head of Data & Analytics at Vodafone. He has more than 15 years of international experience managing Data Analytics and Data Science organizations. He is a social media influencer, a professor, a researcher, and a popular science author of several books in English and Italian. He appeared in 2022 global Forty Under 40 list by CDO magazine. Previously, he served as Director of Business Analytics at Procter & Gamble, looking after the continuous elevation of data analytics in the business and the development of digital fluency across the global organization.   Michele Pacifico is currently Senior Product Manager for Commercial Analytics in the global analytics team of Nestlé. He has spent the last 15 years in various Business Intelligence and Data Analytics roles in Fast Moving Consumer Goods and software industries, mostly focusing on business facing responsibilities across countries and organiz

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Book SynopsisMartin J. Eppler, PhD, is a chaired professor of communications management at St. Gallen University, one of Europe's top 10 business schools, where he is the director of a global MBA program. He is the author of 22 books, including the getabstract international business book of the year winner Meet up! (Cambridge University Press). He is a 10 times MBA course of the year winner and received numerous best paper awards for his research on communication issues in management. His research has been featured in The Guardian, Businessweek, the Harvard Business Review, Inc. magazine, the MIT Technology Review. He is an advisor to organizations such as the European Central Bank, the United Nations, IATA, Tawuniya, Porsche, Swiss Re, or Nike. He has been a guest professor at Georgiatech in the US, Cambridge University in the UK, Simon Fraser University in Canada, Aalto University in Finland, and CUFE in China, as well as Pacifico in Peru. For the last 15 years, he has been edTrade Review"Technology requires human communication to make data impactful. The insights of this book show how to bring data to the people." Christoph Keller, CEO IBM Switzerland "A clear, concise guide for business leaders on how to make sense of data, intelligently explore or question findings, and not get bamboozled by experts." Dave Gray, founder, XPLANE, and author of The Connected Company and of Gamestorming . "This powerful book shows how managers can better understand and communicate data and analytics to seize business opportunities and increase competitiveness in an increasingly data driven world." Dr. Andreas Schönenberger, CEO Sanitas and former CEO of Google Switzerland "This book is your best investment to continuously grow your data mastery. Realistic use cases are combined with meticulously selected tools. Powerful." Valérie Saintot, Division Head, European Central Bank "No matter what industry you're in, you're in a data industry. And this is the guide to get more value out of your data." Dr. Thomas Wellauer, Chairman of the Board of the Swiss Stock Exchange, SIX Group "Great entrepreneurs and innovators are also great storytellers, and data has the power to either bring the narrative to life or kill it by boring, excluding or confusing your audience. How To Talk About Data builds much-needed bridges over common traps we can all fall into." Dr. Sarah Lubik, Director of Entrepreneurship, Simon Fraser University, multiple board member, founder, executive director of the Chang Institute for Entrepreneurship (Vancouver), elected as innovation leader by the Canadian government "The beauty of the book How To Talk About Data is putting communication at the center, enabling us to have better data and analytics conversations. It's revealing the often unforeseen efforts and invisible barriers to truly becoming a data-led organization and gives actionable advice how to address this for sustainable change." Bianca Scheffler, Head of Data Culture & Innovation, Swiss ReManagement Ltd. "An indispensable handbook for everyone leading authentic and inclusive conversations about data analytics." Benjamin Wiederkehr, founder, partner, and Managing Director of Interactive Things Inc., Colorado, USA "An efficient refresher on how to communicate through data and on which mistakes to avoid and an effective tool for any manager looking to up their data literacy game." Christian Koblmiller-Kampmueller, Chief Data Officer, International Committee of the Red CrossTable of ContentsPART I: The Manager as Data User: Making Sense of Data 1. Overcoming Analytics Anxiety 2. Making sense of statistics: Achieving a global view of data 3. Predicting outcomes: Modelling the world with data 4. Understanding relationships: Probing for the when, how, and why 5. Differences that make a difference: How to segment the world statistically (and what machine learning looks like) PART II: The Manager as Data Facilitator: Conveying Data-based Insights 6. The Five Magic Ingredients of Data Storytelling 7. The Data Storytelling Canvas 8. How to visually DESIGN your Data: A Manager’s Chart Guide 9. How to Work with Software in front of others 10. Effective Analytics Q & A Sessions PART III: The Manager as Collaboration Partner: Making Analytics Work 11. A Typology of common cooperation challenges in Analytics 12. A Recipe for Better Analytics Collaboration Conclusion: Future proof Analytics

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Book SynopsisAn unimaginably vast amount of data is now generated by our on-line lives and businesses, At the same time, our ability to store, manage, analyse, and exploit this data is becoming ever more sophisticated. This Very Short Introduction maps out the technology, and also the range of possibilities, challenges, and ethical questions it raises.Trade ReviewBig data is in the news, and this excellent very short introduction brings the reader up to speed and enables them to understand the various components and implications. * Paradigm Explorer *This is a very useful, concise introduction to the topic of big data. * Jonathan Cowie, Science Fact & Science Fiction Concatenation *A very short introduction to a very big subject ... arguably the most topical of this book series ... This very short introduction is perfect for anyone who is a little bit baffled by the very concept of big data. Holmes introduces the subject in a format that is both concise and manageable. * Jade Taylor-Salazar, E&T Magazine *Table of ContentsBYTE SIZE CHART; REFERENCES; FURTHER READING; INDEX

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Book Synopsis''I couldn''t imagine a better guidebook for making sense of a tragic and momentous time in our lives. Covid by Numbers is comprehensive yet concise, impeccably clear and always humane'' Tim HarfordHow many people have died because of COVID-19? Which countries have been hit hardest by the virus? What are the benefits and harms of different vaccines? How does COVID-19 compare to the Spanish flu? How have the lockdown measures affected the economy, mental health and crime?This year we have been bombarded by statistics - seven day rolling averages, rates of infection, excess deaths. Never have numbers been more central to our national conversation, and never has it been more important that we think about them clearly. In the media and in their Observer column, Professor Sir David Spiegelhalter and RSS Statistical Ambassador Anthony Masters have interpreted these statistics, offering a vital public service by giving us the tools we need to make sensTrade ReviewA clear and extremely readable guided tour of the pandemic... This book represents an extremely timely contribution... If journalists, politicians and the public were all provided with a copy then the debate would be vastly better informed, with much more light than heat -- Oliver Johnson * Guardian *Cuts through the noise and disinformation about the pandemic... In single well-evidenced sentences [Spiegelhalter] and Masters can pronounce on months-long conflicts... Reading it, it feels as though there are adults in the room -- Tom Whipple * The Times *Fascinating -- Jeremy VineA valuable overview of COVID-19 statistics and how to navigate them. Rather than just quoting numbers, Spiegelhalter and Masters discuss how to think about epidemic data... No doubt many books will be written on the COVID-19 pandemic... But if they want to get the statistics straight, their authors may want to read Covid by Numbers first -- Adam Kucharski * Lancet *I couldn't imagine a better guidebook for making sense of a tragic and momentous time in our lives. Covid by Numbers is comprehensive yet concise, impeccably clear and always humane -- Tim Harford, author of How To Make The World Add UpA clear, concise statistical journal of the plague year. If you want to understand the numbers behind the virus that stopped the world, you ought to read this book -- Tom Chivers, author of The RationalistsFantastic and wonderfully readable. A much needed antidote to the often murky and misinterpreted world of Covid data, explained in a straightforward and clear way - yet always remembering the humanity the data represents -- Dr Hannah Fry

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Book SynopsisMaster basic matrix methods by seeing how the mathematics is used in practice in a range of data-driven applications. Includes a wealth of engaging exercises for quizzes, self-study and interactive learning, as well as online JULIA demos offering a hands-on learning experience for upper-level undergraduates and first-year graduate students.

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisFoundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated

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Book SynopsisThis textbook provides future data analysts with the tools, methods, and skills needed to answer data-focused, real-life questions; to carry out data analysis; and to visualize and interpret results to support better decisions in business, economics, and public policy. Data wrangling and exploration, regression analysis, machine learning, and causal analysis are comprehensively covered, as well as when, why, and how the methods work, and how they relate to each other. As the most effective way to communicate data analysis, running case studies play a central role in this textbook. Each case starts with an industry-relevant question and answers it by using real-world data and applying the tools and methods covered in the textbook. Learning is then consolidated by 360 practice questions and 120 data exercises. Extensive online resources, including raw and cleaned data and codes for all analysis in Stata, R, and Python, can be found at www.gabors-data-analysis.com.Trade Review'This exciting new text covers everything today's aspiring data scientist needs to know, managing to be comprehensive as well as accessible. Like a good confidence interval, the Gabors have got you almost completely covered!' Joshua Angrist, Massachusetts Institute of Technology, winner of the Nobel Memorial Prize in Economic Sciences'This is an excellent book for students learning the art of modern data analytics. It combines the latest techniques with practical applications, replicating the implementation side of classroom teaching that is typically missing in textbooks. For example, they used the World Management Survey data to generate exercises on firm performance for students to gain experience in handling real data, with all its quirks, problems, and issues. For students looking to learn data analysis from one textbook, this is a great way to proceed.' Nicholas Bloom, Stanford University'I know of few books about data analysis and visualization that are as comprehensive, deep, practical, and current as this one; and I know of almost none that are as fun to read. Gábor Békés and Gábor Kézdi have created a most unusual and most compelling beast: a textbook that teaches you the subject matter well and that, at the same time, you can enjoy reading cover to cover.' Alberto Cairo, University of Miami'A beautiful integration of econometrics and data science that provides a direct path from data collection and exploratory analysis to conventional regression modeling, then on to prediction and causal modeling. Exactly what is needed to equip the next generation of students with the tools and insights from the two fields.' David Card, University of California, Berkeley, winner of the Nobel Memorial Prize in Economic Sciences'This textbook is excellent at dissecting and explaining the underlying process of data analysis. Békés and Kézdi have masterfully woven into their instruction a comprehensive range of case studies. The result is a rigorous textbook grounded in real-world learning, at once accessible and engaging to novice scholars and advanced practitioners alike. I have every confidence it will be valued by future generations.' Kerwin K. Charles, Yale School of Management'This book takes you by the hand in a journey that will bring you to understand the core value of data in the fields of machine learning and economics. The large amount of accessible examples combined with the intuitive explanation of foundational concepts is an ideal mix for anyone who wants to do data analysis. It is highly recommended to anyone interested in the new way in which data will be analyzed in the social sciences in the next years.' Christian Fons-Rosen, Barcelona Graduate School of Economics'This sophisticatedly simple book is ideal for undergraduate- or Master's-level Data Analytics courses with a broad audience. The authors discuss the key aspects of examining data, regression analysis, prediction, Lasso, and random forests, and more, with using elegant prose instead of algebra. Using well-chosen case studies, they illustrate the techniques and discuss all of them patiently and thoroughly.' Carter Hill, Louisiana State University'This is not an econometrics textbook. It is a data analysis textbook. And a highly unusual one - written in plain English, based on simplified notation, and full of case studies. An excellent starting point for future data analysts or anyone interested in finding out what data can tell us.' Beata Javorcik, University of Oxford'A multifaceted book that considers many sides of data analysis, all of them important for the contemporary student and practitioner. It brings together classical statistics, regression, and causal inference, sending the message that awareness of all three aspects is important for success in this field. Many 'best practices' are discussed in accessible language, and illustrated using interesting datasets.' llya Ryzhov, University of Maryland'This is a fantastic book to have. Strong data skills are critical for modern business and economic research, and this text provides a thorough and practical guide to acquiring them. Highly recommended.' John van Reenen, MIT Sloan'Energy and climate change is one of the most important public policy challenges, and high- quality data and its empirical analysis is a foundation of solid policy. Data Analysis for Business, Economics, and Policy will make an important contribution to this with its innovative approach. In addition to the comprehensive treatment of modern econometric techniques, the book also covers the less glamorous but crucial aspects of procuring and cleaning data, and drawing useful inferences from less-than-perfect datasets. As the center of gravity of the energy system shifts to developing economies where data quality is still an issue, this will provide an important and practical combination for both academic and policy professionals.' Laszlo Varro, Chief Economist, International Energy AgencyTable of ContentsPart I. Data Exploration: 1. Origins of data; 2. Preparing data for analysis; 3. Exploratory data analysis; 4. Comparison and correlation; 5. Generalizing from data; 6. Testing hypotheses; Part II. Regression Analysis: 7. Simple regression; 8. Complicated patterns and messy data; 9. Generalizing results of a regression; 10. Multiple linear regression; 11. Modeling probabilities; 12. Regression with time series data; Part III. Prediction: 13. A framework for prediction; 14. Model building for prediction; 15. Regression trees; 16. Random forest and boosting; 17. Probability prediction and classification; 18. Forecasting from time series data; Part IV. Causal Analysis: 19. A framework for causal analysis; 20. Designing and analyzing experiments; 21. Regression and matching with observational data; 22. Difference-in-differences; 23. Methods for panel data; 24. Appropriate control groups for panel data; Bibliography; Index.

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Book SynopsisA valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data. Adding to the value in the new edition is: Illustrations of the use of R software to perform all the analyses in the book A new chapter on alternative methods for categorical data, including smoothing and regularization methods (such as the lasso), classification methods such as linear discriminant analysis and classification trees, and cluster analysis New sections in many chapters introducing the Bayesian approach for the methodTable of ContentsPreface ix About the Companion Website xiii 1 Introduction 1 1.1 Categorical Response Data 1 1.2 Probability Distributions for Categorical Data 3 1.3 Statistical Inference for a Proportion 5 1.4 Statistical Inference for Discrete Data 10 1.5 Bayesian Inference for Proportions * 13 1.6 Using R Software for Statistical Inference about Proportions * 17 Exercises 21 2 Analyzing Contingency Tables 25 2.1 Probability Structure for Contingency Tables 26 2.2 Comparing Proportions in 2 × 2 Contingency Tables 29 2.3 The Odds Ratio 31 2.4 Chi-Squared Tests of Independence 36 2.5 Testing Independence for Ordinal Variables 42 2.6 Exact Frequentist and Bayesian Inference * 46 2.7 Association in Three-Way Tables 52 Exercises 56 3 Generalized Linear Models 65 3.1 Components of a Generalized Linear Model 66 3.2 Generalized Linear Models for Binary Data 68 3.3 Generalized Linear Models for Counts and Rates 72 3.4 Statistical Inference and Model Checking 76 3.5 Fitting Generalized Linear Models 82 Exercises 84 4 Logistic Regression 89 4.1 The Logistic Regression Model 89 4.2 Statistical Inference for Logistic Regression 94 4.3 Logistic Regression with Categorical Predictors 98 4.4 Multiple Logistic Regression 102 4.5 Summarizing Effects in Logistic Regression 107 4.6 Summarizing Predictive Power: Classification Tables, ROC Curves, and Multiple Correlation 110 Exercises 113 5 Building and Applying Logistic Regression Models 123 5.1 Strategies in Model Selection 123 5.2 Model Checking 130 5.3 Infinite Estimates in Logistic Regression 136 5.4 Bayesian Inference, Penalized Likelihood, and Conditional Likelihood for Logistic Regression * 140 5.5 Alternative Link Functions: Linear Probability and Probit Models * 145 5.6 Sample Size and Power for Logistic Regression * 150 Exercises 151 6 Multicategory Logit Models 159 6.1 Baseline-Category Logit Models for Nominal Responses 159 6.2 Cumulative Logit Models for Ordinal Responses 167 6.3 Cumulative Link Models: Model Checking and Extensions * 176 6.4 Paired-Category Logit Modeling of Ordinal Responses * 184 Exercises 187 7 Loglinear Models for Contingency Tables and Counts 193 7.1 Loglinear Models for Counts in Contingency Tables 194 7.2 Statistical Inference for Loglinear Models 200 7.3 The Loglinear – Logistic Model Connection 207 7.4 Independence Graphs and Collapsibility 210 7.5 Modeling Ordinal Associations in Contingency Tables 214 7.6 Loglinear Modeling of Count Response Variables * 217 Exercises 221 8 Models for Matched Pairs 227 8.1 Comparing Dependent Proportions for Binary Matched Pairs 228 8.2 Marginal Models and Subject-Specific Models for Matched Pairs 230 8.3 Comparing Proportions for Nominal Matched-Pairs Responses 235 8.4 Comparing Proportions for Ordinal Matched-Pairs Responses 239 8.5 Analyzing Rater Agreement * 243 8.6 Bradley–Terry Model for Paired Preferences * 247 Exercises 249 9 Marginal Modeling of Correlated, Clustered Responses 253 9.1 Marginal Models Versus Subject-Specific Models 254 9.2 Marginal Modeling: The Generalized Estimating Equations (GEE) Approach 255 9.3 Marginal Modeling for Clustered Multinomial Responses 260 9.4 Transitional Modeling, Given the Past 263 9.5 Dealing with Missing Data * 266 Exercises 268 10 Random Effects: Generalized Linear Mixed Models 273 10.1 Random Effects Modeling of Clustered Categorical Data 273 10.2 Examples: Random Effects Models for Binary Data 278 10.3 Extensions to Multinomial Responses and Multiple Random Effect Terms 284 10.4 Multilevel (Hierarchical) Models 288 10.5 Latent Class Models * 291 Exercises 295 11 Classification and Smoothing * 299 11.1 Classification: Linear Discriminant Analysis 300 11.2 Classification: Tree-Based Prediction 302 11.3 Cluster Analysis for Categorical Responses 306 11.4 Smoothing: Generalized Additive Models 310 11.5 Regularization for High-Dimensional Categorical Data (Large p) 313 Exercises 321 12 A Historical Tour of Categorical Data Analysis * 325 Appendix: Software for Categorical Data Analysis 331 A.1 R for Categorical Data Analysis 331 A.2 SAS for Categorical Data Analysis 332 A.3 Stata for Categorical Data Analysis 342 A.4 SPSS for Categorical Data Analysis 346 Brief Solutions to Odd-Numbered Exercises 349 Bibliography 363 Examples Index 365 Subject Index 369

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Book Synopsis"This comprehensive, practical, user-friendly book provides a wealth of data analysis strategies that are essential for any qualitative research. It is a must-have tool book for moving from data analysis to writing for publication!" –Guofang Li, University of British Columbia, Canada Miles, Huberman, and Saldaña’s Qualitative Data Analysis: A Methods Sourcebook is the authoritative text for analyzing and displaying qualitative research data. The Fourth Edition maintains the analytic rigor of previous editions while showcasing a variety of new visual display models for qualitative inquiry. Graphics are added to the now-classic matrix and network illustrations of the original co-authors. Five chapters have been substantially revised, and the appendix’s annotated bibliography includes new titles in research methods. Graduate students and established scholars from all disciplines will find this resource an innovative compendium of ideas for the representation and presentation of qualitative data. As the authors demonstrate, when researchers "think display," their analyses of social life capture the complex and vivid processes of the people and institutions studied.Table of ContentsPreface to the Fourth Edition Part 1: The Substantive Start Chapter 1: Introduction The Purpose of This Book The Nature of This Book Our Orientation An Approach to Qualitative Data Analysis The Nature of Qualitative Data Analysis Our View of Qualitative Data Analysis Suggestions for Readers Closure and Transition Chapter 2: Research Design and Data Management Introduction Loose Versus Tight Research Designs Displaying the Conceptual Framework Methodologies (Genres) of Qualitative Research Formulating Research Questions Defining the Case Sampling: Bounding the Collection of Data Instrumentation Linking Qualitative and Quantitative Data Data Management Issues Bearing on Analysis Closure and Transition Chapter 3: Ethical Issues in Analysis Introduction Agreements with Study Participants Ethical Issues Conflicts, Dilemmas, and Trade-Offs Closure and Transition Chapter 4: Fundamentals of Qualitative Data Analysis Introduction First Cycle Codes and Coding Second Cycle Coding - Pattern Codes Jottings Analytic Memoing Within-Case and Cross-Case Analysis Closure and Transition Part Two: Displaying the Data Chapter 5: Designing Matrix, Network, and Graphic Displays Introduction Display Format Options Matrices Networks Graphics Timing of Display Design Entering Matrix, Network, and Graphic Data Making Inferences and Drawing Conclusions from Matrix, Network, and Graphic Displays The Methods Profiles Closure and Transition Chapter 6: Methods of Exploring Introduction Exploring Fieldwork in Progress Exploring Variables Exploring Reports in Progress Closure and Transition Chapter 7: Methods of Describing Introduction Describing Participants Describing Validity Describing Variability Describing Actions Closure and Transition Chapter 8: Methods of Ordering Introduction Ordering by Time Ordering Processes Ordering by Cases Closure and Transition Chapter 9: Methods of Explaining Introduction Antecedent Conditions, Mediating Variables, and Outcomes On Causation and Explanation Explaining Interrelationship Explaining Change Explaining Causation Closure and Transition Chapter 10: Methods of Predicting Introduction Methods of Predicting Closure and Transition Part 3: Making Good Sense Chapter 11: Drawing and Verifying Conclusions Introduction Tactics for Generating Meaning Tactics for Testing or Confirming Findings Standards for the Quality of Conclusions Analytic Documentation Closure and Transition Chapter 12: Writing About Qualitative Research Introduction Audiences and Effects Voices and Styles Writing Examples and Recommendations Traditional Presentation Modes Progressive Presentation Modes On Theses and Disseratations Chapter 13: Closure Qualitative Analysis at a Glance Reflections Final Advice Appendix: An Annotated Bibliography of Qualitative Research Methods Resources Index

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Book SynopsisDigital transformation and data projects are not new and yet, for many, they are a challenge. Driving Data Projects is a compelling guide that empowers data teams and professionals to navigate the complexities of data projects, fostering a more data-informed culture within their organizations.With practical insights and step-by-step methodologies, this guide provides a clear path how to drive data projects effectively in any organization, regardless of its sector or maturity level whilst also demonstrating how to overcome the overwhelming feelings of where to start and how to not lose momentum. This book offers the keys to identifying opportunities for driving data projects and how to overcome challenges to drive successful data initiatives.Driving Data Projects is highly practical and provides reflections, worksheets, checklists, activities, and tools making it accessible to students new to driving data proj

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisNeetan Chopra is a C-suite level senior digital leader with a track record of driving change and innovation at established enterprises. In his three-decade career, he has led digital transformation in global enterprises operating diverse business models across the aviation, travel, logistics, retail, food and beverage, real estate and entertainment industry sectors. He is currently Chief Digital and Information Officer at IndiGo (InterGlobe Aviation Ltd) in Gurugram, India; prior to this, he also held roles at Dubai Holding, Emirates Airlines and Accenture. He sits on the boards of multiple tech start-ups, has built multiple global innovation labs including at Oxford University and Carnegie Mellon University and is an Adjunct Professor at Botho University, Botswana. He is recognized by the Constellation Research Business Transformation 150 as one of the world's top global executives leading innovative business transformation efforts in their organizations.Trade Review"An insightful, practitioners' guide full of pragmatic ideas and valuable learnings from decades of experience. A must-read for executives vying for industry leadership in digital." * Joydeep Sengupta, Senior Partner, McKinsey & Company *"More than 80% of digital transformation projects fail inside large organizations not through lack of trying. Every organization looking to crack the code for success must read Neetan Chopra's book. By taking a practitioner's point of view, he draws from three decades of experience to provide a proven methodology known as the Honeycomb Framework. Accelerated Digital Transformation is a must-read book for digital leaders." * R ‘Ray’ Wang, Founder and Chairman, Constellation Research *"We live in a time where the fog of technology is often overwhelming, difficult to dissect and changing so rapidly it becomes difficult to have confidence in our decision making. Neetan Chopra takes the mystery out of creating successful digital transformations for companies and their clients in a way that brings light and clarity to an otherwise challenging process. The insights he has gathered through his years of technology experience provide the keys for those who are looking to unlock value during these extraordinary times." * Tim Kobe, Founder and CEO, Eight Inc. *"Every enterprise must succeed on a digital journey to remain relevant, serve customers and add value. Accelerated Digital Transformation provides you with a pragmatic guide and framework to achieve progress and success. I appreciate Neetan Chopra's storytelling approach and many lessons of everyday role models delivering extraordinary customer service. These stories demonstrate the Uplifting Service ethos that earns customer praise and social media attention." * Ron Kaufman, New York Times Bestselling Author, Uplifting Service: The Proven Path to Delighting Your Customers, Colleagues, and Everyone Else You Meet *"Only if one has lived through or, even better, driven digital transformation of a major company, can one seriously understand what it means to write a book about it that is worth reading. Neetan Chopra is exactly one of these few leaders who has lived through such digital transformations and knows exactly what it means, what works and what doesn't. Chopra's book is probably one of the very few books about digital transformation really worth reading, as it is not yet another consultant textbook, far remote from reality, but written by true experience and painful learnings." * Patrick Naef, Managing Partner, Boyden *"Accelerated Digital Transformation deftly fuses practical examples and actionable insights from Neetan Chopra's vast digital experience, with deep foundational learning, borne out of his global academic pursuits. Chopra's storytelling approach, coupled with innovative interventions, such as co-authoring a chapter with an AI-bot, make the book both engaging and first-of-a-kind read. We highly recommend this book, for anyone looking to navigate the ever-evolving digital landscape and staying ahead of the game in the digital era." * Prof Dr Reinhard Jung, Dean, School of Management, University of St Gallen & Prof Dr Ulrike Baumöl, Executive Director, Executive MBA HSG in Business Engineering, University of St Gallen *"Having seen firsthand how Neetan Chopra executes successful digital transformation where others have struggled, I am grateful he has taken the time to write down his framework. His deliberate 'cell by cell' strategy is what it takes to assess, learn and succeed in this complicated mix of technical, business and cultural transformation. And a bonus, he demonstrates learning with this framework by co-authoring one chapter with an AI bot... brilliant!" * Jana Eggers, CEO, Nara Logics *"All transformations, digital or otherwise, are in essence a human journey of change. I like Chopra's storytelling, a colloquial approach to the intimidating topic of digital transformation for business leaders. This will connect with people across all walks of life, demystifying what it takes to thrive in the digital era and create exponential outcomes. The six global experts, the honeycomb archetypes, provide an additional human touch, sharing their experiences and wisdom, using Chopra's Accelerated Digital Transformation as a platform. A must read." * Raj Jain, Former CEO, Bennett Coleman & Co Limited (Times Group) *"Organizations need simple frameworks by which they can plan their digital transitions. Neetan Chopra's efforts on achieving this through a well thought out 'Honeycomb Framework' is commendable. His building blocks of digital transformation provide a succinct and clear framework through which readers can apply these in the context of their organizations. The future is about organizations which will survive and thrive in a digitally driven business ecosystem. Chopra's book will help organizations survive and thrive in a VUCA world." * Krishnakumar Natarajan, Co-founder & Former Executive Chairperson, LTIMindtree *"Chopra's new book helps you reduce bad friction into a manageable hexagon comb while introducing good friction to sweeten the honey from digital transformation." * Soon Yu, Author, Friction: Adding Value by Making People Work For It *Table of Contents Chapter - 01: Breaking organizational inertia; Chapter - 02: Working the Honeycomb – disrupt phase; Chapter - 03: Working the Honeycomb – digital capabilities; Chapter - 04: Accelerated possibilities; Chapter - 05: Honeycomb as a platform; Chapter - 06: The Honeycomb hacks; Chapter - 07: Reflections;

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Book SynopsisMichael Barrow is an Honorary Senior Lecturer in Economics at the University of Sussex, where he has taught economics, statistics and quantitative methods, as well as conducted research in the field of public economics. He continues his consultancy work for the UK government and other voluntary activities. C. Rashaad Shabab is an award-winning teacher at the University of Sussex. He is a Senior Lecturer in Economics and the Business School's Director of Student Experience. He holds a PhD in Economics, specialising in household inequality, income risk, lifecycle theory and migration.

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Book SynopsisHani Nabeel is the Chief Behavioural Scientist at iPsychTec, a people analytics and behavioural science company. He has over 20 years' experience in talent management consulting and quantitative behavioural research. He is an in-demand conference speaker and industry writer on all aspects of culture measurement, people analytics and behavioural science. He is based in London, UK.

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