Download or read book Python for Data Analysis written by Wes McKinney and published by "O'Reilly Media, Inc.". This book was released on 2013 with total page 471 pages. Available in PDF, EPUB and Kindle. Book excerpt: Serves as an introduction to Python for data-intensive applications.

Download or read book Data Feminism written by Catherine D'Ignazio and published by MIT Press. This book was released on 2020-03-31 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.

Download or read book Data Culture written by Shorful Islam and published by Kogan Page Publishers. This book was released on 2024-05-03 with total page 233 pages. Available in PDF, EPUB and Kindle. Book excerpt: Organizations often start their data journey by either procuring the technology or hiring the people. However, without an effective data-driven culture in place, they can struggle to derive value from their investments. Data Culture explores how data leaders can develop and nurture a data-driven culture tailored to their organization's needs. It outlines the types of data leadership and teams needed and the key building blocks for success, such as team recruitment, building and training, leadership, process, behavioural change management, developing, sustaining and measuring a data culture, company values and everyday decision making. It also explores the nuances of how different types of data cultures work with different types of companies, what to avoid and the differences between building a data culture from scratch and changing an existing data culture from within. With this hands-on guide, senior data leader Shorful Islam takes readers through how to successfully establish or change a data culture, sharing his expertise in behavioural change psychology and two decades of experience in fostering data culture in organizations. Supported throughout by real-world examples and cases, this will be an essential read for all data leaders and anyone involved in developing a data-driven organizational culture.

Download or read book Statistics As Principled Argument written by Robert P. Abelson and published by Psychology Press. This book was released on 2012-09-10 with total page 242 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this illuminating volume, Robert P. Abelson delves into the too-often dismissed problems of interpreting quantitative data and then presenting them in the context of a coherent story about one's research. Unlike too many books on statistics, this is a remarkably engaging read, filled with fascinating real-life (and real-research) examples rather than with recipes for analysis. It will be of true interest and lasting value to beginning graduate students and seasoned researchers alike. The focus of the book is that the purpose of statistics is to organize a useful argument from quantitative evidence, using a form of principled rhetoric. Five criteria, described by the acronym MAGIC (magnitude, articulation, generality, interestingness, and credibility) are proposed as crucial features of a persuasive, principled argument. Particular statistical methods are discussed, with minimum use of formulas and heavy data sets. The ideas throughout the book revolve around elementary probability theory, t tests, and simple issues of research design. It is therefore assumed that the reader has already had some access to elementary statistics. Many examples are included to explain the connection of statistics to substantive claims about real phenomena.

Download or read book Data Driven Security written by Jay Jacobs and published by John Wiley & Sons. This book was released on 2014-01-24 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncover hidden patterns of data and respond with countermeasures Security professionals need all the tools at their disposal to increase their visibility in order to prevent security breaches and attacks. This careful guide explores two of the most powerful data analysis and visualization. You'll soon understand how to harness and wield data, from collection and storage to management and analysis as well as visualization and presentation. Using a hands-on approach with real-world examples, this book shows you how to gather feedback, measure the effectiveness of your security methods, and make better decisions. Everything in this book will have practical application for information security professionals. Helps IT and security professionals understand and use data, so they can thwart attacks and understand and visualize vulnerabilities in their networks Includes more than a dozen real-world examples and hands-on exercises that demonstrate how to analyze security data and intelligence and translate that information into visualizations that make plain how to prevent attacks Covers topics such as how to acquire and prepare security data, use simple statistical methods to detect malware, predict rogue behavior, correlate security events, and more Written by a team of well-known experts in the field of security and data analysis Lock down your networks, prevent hacks, and thwart malware by improving visibility into the environment, all through the power of data and Security Using Data Analysis, Visualization, and Dashboards.

Download or read book Humanizing Big Data written by Colin Strong and published by Kogan Page Publishers. This book was released on 2015-03-03 with total page 226 pages. Available in PDF, EPUB and Kindle. Book excerpt: Big data raises more questions than it answers, particularly for those organizations struggling to deal with what has become an overwhelming deluge of data. It can offer marketers more than simple tactical predictive analytics, but organizations need a bigger picture, one that generates some real insight into human behaviour, to drive consumer strategy rather than just better targeting techniques. Humanizing Big Data guides marketing managers, brand managers, strategists and senior executives on how to use big data strategically to redefine customer relationships for better customer engagement and an improved bottom line. Humanizing Big Data provides a detailed understanding of the way to approach and think about the challenges and opportunities of big data, enabling any brand to realize the value of their current and future data assets. First it explores the 'nuts and bolts' of data analytics and the way in which the current big data agenda is in danger of losing credibility by paying insufficient attention to what are often fundamental tenets in any form of analysis. Next it sets out a manifesto for a smart data approach, drawing on an intelligent and big picture view of data analytics that addresses the strategic business challenges that businesses face. Finally it explores the way in which datafication is changing the nature of the relationship between brands and consumers and why this calls for new forms of analytics to support rapidly emerging new business models. After reading this book, any brand should be in a position to make a step change in the value they derive from their data assets.

Download or read book Quantitative Data Analysis written by Donald J. Treiman and published by John Wiley & Sons. This book was released on 2014-01-30 with total page 476 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is an accessible introduction to quantitative dataanalysis, concentrating on the key issues facing those new toresearch, such as how to decide which statistical procedure issuitable, and how to interpret the subsequent results. Each chapterincludes illustrative examples and a set of exercises that allowsreaders to test their understanding of the topic. The book, writtenfor graduate students in the social sciences, public health, andeducation, offers a practical approach to making sociological senseout of a body of quantitative data. The book also will be useful tomore experienced researchers who need a readily accessible handbookon quantitative methods. The author has posted stata files, updates and data sets athis websitehttp://tinyurl.com/Treiman-stata-files-data-sets.

Download or read book Criminally Ignorant written by Dr. Alexander Sarch and published by Oxford University Press. This book was released on 2019-05-29 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a book about the legal fiction that sometimes we know what we don't. The willful ignorance doctrine says defendants who bury their heads in the sand rather than learn they're doing something criminal are punished as if they knew. Not all legal fictions are unjustified, however. This one, used within proper limits, is a defensible way to promote the aims of the criminal law. Preserving your ignorance can make you as culpable as if you knew what you were doing, and so the interests and values protected by the criminal law can be promoted by treating you as if you had knowledge. This book provides a careful defense of this method of imputing mental states based on equal culpability. On the one hand, the theory developed here shows why the willful ignorance doctrine is only partly justified and requires reform. On the other hand, it demonstrates that the criminal law needs more legal fictions of this kind. Repeated indifference to the truth may substitute for knowledge, and very culpable failures to recognize risks can support treating you as if you took those risks consciously. Moreover, equal culpability imputation should also be applied to corporations, not just individuals. Still, such imputation can be taken too far. We need to determine its limits to avoid injustice. Thus, the book seeks to place equal culpability imputation on a solid normative foundation, while demarcating its proper boundaries. The resulting theory of when and why the criminal law can pretend we know what we don't has far-reaching implications for legal practice and reveals a pressing need for reform.

Download or read book Experimental Design and Data Analysis for Biologists written by Gerald Peter Quinn and published by Cambridge University Press. This book was released on 2002-03-21 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: Regression, analysis of variance, correlation, graphical.

Download or read book Data Analysis in Qualitative Research written by Stefan Timmermans and published by University of Chicago Press. This book was released on 2022-06-06 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: From two experts in the field comes an accessible, how-to guide that will help researchers think more productively about the relation between theory and data at every stage of their work. In Data Analysis in Qualitative Research, Iddo Tavory and Stefan Timmermans provide a how-to guide filled with tricks of the trade for researchers who hope to take excellent qualitative data and transform it into powerful scholarship. In their previous book, Abductive Analysis: Theorizing Qualitative Research, Timmermans and Tavory offered a toolkit for innovative theorizing in the social sciences. In this companion, they go one step further to show how to uncover the surprising revelations that lie waiting in qualitative data—in sociology and beyond. In this book, they lay out a series of tools designed to help both novice and expert scholars see and understand their data in surprising ways. Timmermans and Tavory show researchers how to “stack the deck” of qualitative research in favor of locating surprising findings that may lead to theoretical breakthroughs, whether by engaging with theory, discussing research strategies, or walking the reader through the process of coding data. From beginning to end of a research project, Data Analysis in Qualitative Research helps social scientists pinpoint the most promising paths to take in their approach.

Download or read book Data Analysis with Machine Learning for Psychologists written by Chandril Ghosh and published by Springer Nature. This book was released on 2022-10-17 with total page 169 pages. Available in PDF, EPUB and Kindle. Book excerpt: The power of data drives the digital economy of the 21st century. It has been argued that data is as vital a resource as oil was during the industrial revolution. An upward trend in the number of research publications using machine learning in some of the top journals in combination with an increasing number of academic recruiters within psychology asking for Python knowledge from applicants indicates a growing demand for these skills in the market. While there are plenty of books covering data science, rarely, if ever, books in the market address the need of social science students with no computer science background. They are typically written by engineers or computer scientists for people of their discipline. As a result, often such books are filled with technical jargon and examples irrelevant to psychological studies or projects. In contrast, this book was written by a psychologist in a simple, easy-to-understand way that is brief and accessible. The aim for this book was to make the learning experience on this topic as smooth as possible for psychology students/researchers with no background in programming or data science. Completing this book will also open up an enormous amount of possibilities for quantitative researchers in psychological science, as it will enable them to explore newer types of research questions.

Download or read book LSAT PrepTest 75 Unlocked written by Kaplan Test Prep and published by Simon and Schuster. This book was released on 2016-05-17 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: Kaplan's LSAT PrepTest 75 Unlocked features comprehensive explanations for every question in the LSAC's Official LSAT PrepTest 75. Reviewing a practice test is the key to improving your score, and in PrepTest 75 Unlocked Kaplan's LSAT experts deconstruct the June 2015 LSAT to help you learn why you missed questions and how to get the right answers more efficiently. Note: PrepTest 75 is not included in this book. You'll need to purchase that separately. The Best Review Complete explanations for every question and answer choice Test-taking strategies to help you score the most points Sample sketchwork for logic games Sample roadmaps for reading comprehension passages Exclusive data on question difficulty and student performance to help you focus your efforts where you'll need them most Glossary with key terminology to help you think like the testmaker Up-to-date test information, including 8 can't-miss features of PrepTest 75 and how it compares to recent LSAT trends Expert Guidance We know the test: Kaplan's expert LSAT faculty teach the world's most popular LSAT course, and more people get into law school with a Kaplan LSAT course than all other major test prep companies combined. Kaplan's expert psychometricians ensure our practice questions and study materials are true to the test. We invented test prep—Kaplan (www.kaptest.com) has been helping students for almost 80 years. Our proven strategies have helped legions of students achieve their dreams.

Download or read book Rational Choice Theory And Large Scale Data Analysis written by Hans-peter Blossfeld and published by Routledge. This book was released on 2019-09-16 with total page 296 pages. Available in PDF, EPUB and Kindle. Book excerpt: The relationship between rational choice theory and large-scale data analysis has become an important issue for sociologists. Though rational choice theory is well established in both sociology and economics, its influence on quantitative empirical sociology has been surprisingly limited. This book examines why there is hardly a link between the t

Download or read book Intelligent Data Analysis written by Michael Berthold and published by Springer Science & Business Media. This book was released on 2013-04-17 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is a detailed introductory presentation of the key classes of intelligent data analysis (IDA) methods. The first part of the book discusses classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence and provide introductions to the topics of rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a higher level overview of the IDA process and illustrations of its application.

Download or read book Intelligent Data Analysis written by Michael R. Berthold and published by Springer. This book was released on 2007-06-07 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence, rule induction methods, neural networks, fuzzy logic, and stochastic search methods. The book concludes with a chapter on visualization and an advanced overview of IDA processes.

Download or read book Learning Analytics in the Classroom written by Jason Lodge and published by Routledge. This book was released on 2018-10-03 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning Analytics in the Classroom presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different education domains. Highlighting the real potential of learning analytics as a way to better understand and enhance student learning and with each chapter including specific discussion about what the research means in the classroom, this book provides educators and researchers alike with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This volume is split into five sections, all of which relate to the key themes in understanding learning analytics through the lens of the classroom: broad theoretical perspectives understanding learning through analytics the relationship between learning design and learning analytics analytics in the classroom and the impact it can and will have on education implementing analytics and the challenges involved. Bridging the gap between research, theory and practice, Learning Analytics in the Classroom is both a practical tool and an instructive guide for educators, and a valuable addition to researchers' bookshelves. A team of world-leading researchers and expert editors have compiled a state-of-the-art compendium on this fascinating subject and this will be a critical resource for the evolution of this field into the future.

Download or read book Big Data at Work written by Thomas Davenport and published by Harvard Business Review Press. This book was released on 2014-02-04 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Go ahead, be skeptical about big data. The author was—at first. When the term “big data” first came on the scene, bestselling author Tom Davenport (Competing on Analytics, Analytics at Work) thought it was just another example of technology hype. But his research in the years that followed changed his mind. Now, in clear, conversational language, Davenport explains what big data means—and why everyone in business needs to know about it. Big Data at Work covers all the bases: what big data means from a technical, consumer, and management perspective; what its opportunities and costs are; where it can have real business impact; and which aspects of this hot topic have been oversold. This book will help you understand: • Why big data is important to you and your organization • What technology you need to manage it • How big data could change your job, your company, and your industry • How to hire, rent, or develop the kinds of people who make big data work • The key success factors in implementing any big data project • How big data is leading to a new approach to managing analytics With dozens of company examples, including UPS, GE, Amazon, United Healthcare, Citigroup, and many others, this book will help you seize all opportunities—from improving decisions, products, and services to strengthening customer relationships. It will show you how to put big data to work in your own organization so that you too can harness the power of this ever-evolving new resource.