But what’s in it for you? And if you’re not a content strategist, why should you care?Because even if content strategy isn’t your job, content’s probably your problem-and probably more than you think. You or your business has a message you want to deliver, right? You can deliver that message through various channels and content types, from Tweets to testimonials and photo galleries galore, and your audience has just as many ways of engaging with it. So many ways, so much content… so where’s the problem? That is the problem. And you can measure it in time, creativity, money, lost opportunity, and the sobs you hear equally from creative directors, project managers, and search engine marketing specialists.The solution is content strategy, and this book offers real-world examples and approaches you can adopt, no matter your role on the team. Put content strategy to work for you by gathering this book into your little hands and gobbling up never-before seen case studies from teams at Johns Hopkins Medicine, MINI, Icebreaker, and more. Content Strategy at Work is a book for designers, information architects, copywriters, project managers, and anyone who works with visual or verbal content. It discusses how you can communicate and forge a plan that will enable you, your company, or your client get that message across and foster better user experiences.

    The first generation of books on the topic focused on web pages and cognitive psychology. This book covers apps, social media, in-car infotainment, and multiplayer video games, and it explores the crucial roles played by behaviorism, development, personality, and social psychology. Author David Evans is an experimental psychology Ph.D. and senior manager of consumer research at Microsoft who recounts high-stakes case studies in which behavioral theory aligned digital designs with the bottlenecks in human nature to the benefit of users and businesses alike.Innovators in design and students of psychology will learn:The psychological processes determining users' perception of, engagement with, and recommendation of digital innovationsExamples of interfaces before and after simple psychological alignments that vastly enhanced their effectivenessStrategies for marketing and product development in an age of social media and behavioral targetingHypotheses for research that both academics and enterprises can perform to better meet users' needsWho This Book Is ForDesigners and entrepreneurs will use this book to give their innovations an edge on what are increasingly competitive platforms such as apps, bots, in-car apps, augmented reality content. Usability researchers and market researchers will leverage it to enhance their consulting and reporting. Students and lecturers in psychology departments will want it to help land employment in the private sector.

    This edition incorporates current research methodology—including molecular and genetic clinical research—and offers an updated syllabus for conducting a clinical research workshop.Emphasis is on common sense as the main ingredient of good science. The book explains how to choose well-focused research questions and details the steps through all the elements of study design, data collection, quality assurance, and basic grant-writing. All chapters have been thoroughly revised, updated, and made more user-friendly.

    "Web Analytics 2.0" presents a new framework that will permanently change how you think about analytics. It provides specific recommendations for creating an actionable strategy, applying analytical techniques correctly, solving challenges such as measuring social media and multichannel campaigns, achieving optimal success by leveraging experimentation, and employing tactics for truly listening to your customers. The book will help your organization become more data driven while you become a super analysis ninja Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

    Never again will you order the Poisson Distribution in a French restaurant!This updated version features all new material.

    The Information Design Handbook celebrates graphics that are exemplars of communication and esthetics, and reveals the thought processes and design skills behind them. This comprehensive guide to creating information graphics is packed with essential design principles, case studies, color palettes, trouble-shooting tips, and much more. Designers will learn to achieve graphics that are visually striking yet concise and supremely funcitional with this must-have resource.

    With this insightful book, intermediate to experienced programmers interested in data analysis will learn techniques for working with data in a business environment. You'll learn how to look at data to discover what it contains, how to capture those ideas in conceptual models, and then feed your understanding back into the organization through business plans, metrics dashboards, and other applications.Along the way, you'll experiment with concepts through hands-on workshops at the end of each chapter. Above all, you'll learn how to think about the results you want to achieve -- rather than rely on tools to think for you.Use graphics to describe data with one, two, or dozens of variablesDevelop conceptual models using back-of-the-envelope calculations, as well asscaling and probability argumentsMine data with computationally intensive methods such as simulation and clusteringMake your conclusions understandable through reports, dashboards, and other metrics programsUnderstand financial calculations, including the time-value of moneyUse dimensionality reduction techniques or predictive analytics to conquer challenging data analysis situationsBecome familiar with different open source programming environments for data analysisFinally, a concise reference for understanding how to conquer piles of data.--Austin King, Senior Web Developer, MozillaAn indispensable text for aspiring data scientists.--Michael E. Driscoll, CEO/Founder, Dataspora

    Portraying indigenous researchers as knowledge seekers who work to progress indigenous ways of being, knowing, and doing in a constantly evolving context, this examination shows how relationships both shape indigenous reality and are vital to reality itself. These same knowledge seekers develop relationships with ideas in order to achieve enlightenment in the ceremony of maintaining accountability. Envisioning researchers as accountable to all relations, this overview proves that careful choices should be made regarding selection of topics, methods of data collection, forms of analysis, and the way in which information is presented.

    This Self-Paced Training Kit is designed to help maximize your performance on 70-680, the required exam for the Microsoft Certified Technology Specialist (MCTS): Windows 7, Configuration certification.This 2-in-1 kit includes the official Microsoft study guide, plus practice tests on CD to help you assess your skills. It comes packed with the tools and features exam candidates want most—including in-depth, self-paced training based on final exam content; rigorous, objective-by-objective review; exam tips from expert, exam-certified authors; and customizable testing options. It also provides real-world scenarios, case study examples, and troubleshooting labs to give you the skills and expertise you can use on the job.Work at your own pace through the lessons and lab exercises. This official study guide covers installing, upgrading, and migrating to Windows 7; configuring network connectivity, applications, and devices; implementing backup and recovery; configuring User Account Control (UAC), mobility options, and new features such as DirectAccess and BranchCache; and managing system updates.Then assess yourself using the 200 practice questions on CD, featuring multiple customizable testing options to meet your specific needs. Choose timed or untimed testing mode, generate random tests, or focus on discrete objectives. You get detailed explanations for right and wrong answers—including pointers back to the book for further study. You also get an exam discount voucher—making this kit an exceptional value and a great career investment.

    While proposing a phenomenological approach to in-depth interviewing, the author also includes principles and methods that can be adapted to a range of interviewing approaches. Using concrete examples of interviewing techniques to illustrate the issues under discussion, this classic text helps readers to understand the complexities of interviewing and its connections to broader issues of qualitative research.

    That's a daunting task indeed. Thankfully, design systems are here to help.Atomic Design details all that goes into creating and maintaining robust design systems, allowing you to roll out higher quality, more consistent UIs faster than ever before. This book introduces a methodology for thinking of our UIs as thoughtful hierarchies, discusses the qualities of effective pattern libraries, and showcases techniques to transform your team's design and development workflow.

    It is like having a graphic design mentor who will help you come up with ideas, develop your concepts, and implement them in a way that is engaging and humorous. It gives readers the experience and ability that normally comes from years of on-the-job training. All of the essential techniques of graphic design and its digital implementation are covered. Read this book and gain 25 years of experience in how to think like a creative, act like a businessman and design like a god.This book is designed like a notebook, with all the authors' tips and knowledge already inside. However, it also includes blank pages that allow the user to personalize this reference book with specific notes that are relevant to his or her studio, suppliers or clients.

    Authors Juliet Corbin and the late Anselm Strauss (co-creator of Grounded Theory) present methods that enable researchers to analyze and interpret their data, and ultimately build theory from it. Highly accessible in their approach, Corbin and Strauss provide a step-by-step guide to the research act--from the formation of the research question through several approaches to coding and analysis, to reporting on the research. Full of definitions and illustrative examples, this book concludes with chapters that present criteria for evaluating a study, as well as responses to common questions posed by students of qualitative research. Significantly revised, Basics of Qualitative Research remains a landmark volume in the study of qualitative methods. Key Features of the Third Edition:Allows for students to develop their critical thinking skills in the "Critical Issues" section at the end of each chapter.Shows the actual steps involved in data analysis (from description to grounded theory) and data gathering by means of theoretical sampling.Provides exercises for thinking, writing and group discussion that reinforces material presented in the text.

    This book presents some of the most important modeling and prediction techniques, along with relevant applications. Topics include linear regression, classification, resampling methods, shrinkage approaches, tree- based methods, support vector machines, clustering, and more. Color graphics and real-world examples are used to illustrate the methods presented. Since the goal of this textbook is to facilitate the use of these statistical learning techniques by practitioners in science, industry, and other fields, each chapter contains a tutorial on implementing the analyses and methods presented in R, an extremely popular open source statistical software platform. Two of the authors co-wrote The Elements of Statistical Learning (Hastie, Tibshirani and Friedman, 2nd edition 2009), a popular reference book for statistics and machine learning researchers. An Introduction to Statistical Learning covers many of the same topics, but at a level accessible to a much broader audience. This book is targeted at statisticians and non-statisticians alike who wish to use cutting-edge statistical learning techniques to analyze their data. The text assumes only a previous course in linear regression and no knowledge of matrix algebra.

    This book is useful for designers, project managers, programmers, and other information architecture practitioners.