Edited by the Sustainability Institute’s Diana Wright, this essential primer brings systems thinking out of the realm of computers and equations and into the tangible world, showing readers how to develop the systems-thinking skills that thought leaders across the globe consider critical for 21st-century life.Some of the biggest problems facing the world—war, hunger, poverty, and environmental degradation—are essentially system failures. They cannot be solved by fixing one piece in isolation from the others, because even seemingly minor details have enormous power to undermine the best efforts of too-narrow thinking.While readers will learn the conceptual tools and methods of systems thinking, the heart of the book is grander than methodology. Donella Meadows was known as much for nurturing positive outcomes as she was for delving into the science behind global dilemmas. She reminds readers to pay attention to what is important, not just what is quantifiable, to stay humble, and to stay a learner.In a world growing ever more complicated, crowded, and interdependent, Thinking in Systems helps readers avoid confusion and helplessness, the first step toward finding proactive and effective solutions.

    It provides a framework for analyzing and quickly adapting to future challenges. And it helps all board and staff members focus more clearly on your organization's priorities, while building commitment and promoting cooperation and innovation.But to be effective, your plan will need to address the special needs of the nonprofit sector. And for more than a decade, Strategic Planning for Nonprofit Organizations has been the number-one source of guidance on all facets of strategic planning for managers at nonprofits of every size and budget. This thoroughly revised, updated, and expanded edition arms you with the expert knowledge and tools you need to develop and implement surefire strategic plans, including tested-in-the-trenches worksheets, checklists, and tables—in print and on the companion CD-ROM—along with a book-length case study that lets you observe strategic planning in action. Packed with real-world insights and practical pointers, it shows you how to: Develop a clear mission, vision, and set of values Conduct SWOT analyses and program evaluations Assess client needs and determine stakeholder concerns Set priorities and develop core strategies, goals, and objectives Balance the dual bottom lines of mission and money Write and implement a solid strategic plan Develop a user-friendly annual work plan Establish planning cycles, gauge progress, and update strategies

    No longer. A new generation of tools and massive amounts of available data make it easy for anyone to create visualizations that communicate ideas far more effectively than generic spreadsheet charts ever could.What’s more, building good charts is quickly becoming a need-to-have skill for managers. If you’re not doing it, other managers are, and they’re getting noticed for it and getting credit for contributing to your company’s success.In Good Charts, dataviz maven Scott Berinato provides an essential guide to how visualization works and how to use this new language to impress and persuade. Dataviz today is where spreadsheets and word processors were in the early 1980s—on the cusp of changing how we work. Berinato lays out a system for thinking visually and building better charts through a process of talking, sketching, and prototyping.This book is much more than a set of static rules for making visualizations. It taps into both well-established and cutting-edge research in visual perception and neuroscience, as well as the emerging field of visualization science, to explore why good charts (and bad ones) create “feelings behind our eyes.” Along the way, Berinato also includes many engaging vignettes of dataviz pros, illustrating the ideas in practice.Good Charts will help you turn plain, uninspiring charts that merely present information into smart, effective visualizations that powerfully convey ideas.

    This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically, with programs written in Python.You'll work with a case study throughout the book to help you learn the entire data analysis process—from collecting data and generating statistics to identifying patterns and testing hypotheses. Along the way, you'll become familiar with distributions, the rules of probability, visualization, and many other tools and concepts.Develop your understanding of probability and statistics by writing and testing codeRun experiments to test statistical behavior, such as generating samples from several distributionsUse simulations to understand concepts that are hard to grasp mathematicallyLearn topics not usually covered in an introductory course, such as Bayesian estimationImport data from almost any source using Python, rather than be limited to data that has been cleaned and formatted for statistics toolsUse statistical inference to answer questions about real-world data

     Today, encyclopedias, jetliners, operating systems, mutual funds, and many other items are being created by teams numbering in the thousands or even millions. While some leaders fear the heaving growth of these massive online communities, Wikinomics proves this fear is folly. Smart firms can harness collective capability and genius to spur innovation, growth, and success. A brilliant guide to one of the most profound changes of our time, Wikinomics challenges our most deeply-rooted assumptions about business and will prove indispensable to anyone who wants to understand competitiveness in the twenty-first century. Based on a $9 million research project led by bestselling author Don Tapscott, Wikinomics shows how masses of people can participate in the economy like never before. They are creating TV news stories, sequencing the human genome, remixing their favorite music, designing software, finding a cure for disease, editing school texts, inventing new cosmetics, or even building motorcycles. You'll read about: • Rob McEwen, the Goldcorp, Inc. CEO who used open source tactics and an online competition to save his company and breathe new life into an old-fashioned industry. • Flickr, Second Life, YouTube, and other thriving online communities that transcend social networking to pioneer a new form of collaborative production. • Mature companies like Procter & Gamble that cultivate nimble, trust-based relationships with external collaborators to form vibrant business ecosystems. An important look into the future, Wikinomics will be your road map for doing business in the twenty-first century.

    "More concretely," the authors explain, "it is the controlled manipulation of mathematical formulas, using a collection of techniques for solving problems."

     They are also used in countless industries such as medicine, manufacturing and finance to help companies make better decisions and reduce risk. Whether coded or scratched out by hand, both algorithms are powerful tools that can make a significant impact. This book is a visual introduction for beginners that unpacks the fundamentals of decision trees and random forests. If you want to dig into the basics with a visual twist plus create your own machine learning algorithms in Python, this book is for you.

    They were letting emotion get in the way of smart financial decisions. He named this phenomenon-the distance between what we should do and what we actually do-"the behavior gap." Using simple drawings to explain the gap, he found that once people understood it, they started doing much better.Richards's way with words and images has attracted a loyal following to his blog posts for The New York Times, appearances on National Public Radio, and his columns and lectures. His book will teach you how to rethink all kinds of situations where your perfectly natural instincts (for safety or success) can cost you money and peace of mind.He'll help you to:avoid the tendency to buy high and sell low; avoid the pitfalls of generic financial advice; invest all of your assets-time and energy as well as savings-more wisely; quit spending money and time on things that don't matter; identify your real financial goals; start meaningful conversations about money; simplify your financial life; stop losing money!It's never too late to make a fresh financial start. As Richards writes: "We've all made mistakes, but now it's time to give yourself permission to review those mistakes, identify your personal behavior gaps, and make a plan to avoid them in the future. The goal isn't to make the 'perfect' decision about money every time, but to do the best we can and move forward. Most of the time, that's enough."

    Its world-class authors provide guidance on all aspects of Bayesian data analysis and include examples of real statistical analyses, based on their own research, that demonstrate how to solve complicated problems. Changes in the new edition include:Stronger focus on MCMC Revision of the computational advice in Part III New chapters on nonlinear models and decision analysis Several additional applied examples from the authors' recent research Additional chapters on current models for Bayesian data analysis such as nonlinear models, generalized linear mixed models, and more Reorganization of chapters 6 and 7 on model checking and data collectionBayesian computation is currently at a stage where there are many reasonable ways to compute any given posterior distribution. However, the best approach is not always clear ahead of time. Reflecting this, the new edition offers a more pluralistic presentation, giving advice on performing computations from many perspectives while making clear the importance of being aware that there are different ways to implement any given iterative simulation computation. The new approach, additional examples, and updated information make Bayesian Data Analysis an excellent introductory text and a reference that working scientists will use throughout their professional life.

    This is not the same as “doing math.” The latter usually involves the application of formulas, procedures, and symbolic manipulations; mathematical thinking is a powerful way of thinking about things in the world -- logically, analytically, quantitatively, and with precision. It is not a natural way of thinking, but it can be learned. Mathematicians, scientists, and engineers need to “do math,” and it takes many years of college-level education to learn all that is required. Mathematical thinking is valuable to everyone, and can be mastered in about six weeks by anyone who has completed high school mathematics. Mathematical thinking does not have to be about mathematics at all, but parts of mathematics provide the ideal target domain to learn how to think that way, and that is the approach taken by this short but valuable book. The book is written primarily for first and second year students of science, technology, engineering, and mathematics (STEM) at colleges and universities, and for high school students intending to study a STEM subject at university. Many students encounter difficulty going from high school math to college-level mathematics. Even if they did well at math in school, most are knocked off course for a while by the shift in emphasis, from the K-12 focus on mastering procedures to the “mathematical thinking” characteristic of much university mathematics. Though the majority survive the transition, many do not. To help them make the shift, colleges and universities often have a “transition course.” This book could serve as a textbook or a supplementary source for such a course. Because of the widespread applicability of mathematical thinking, however, the book has been kept short and written in an engaging style, to make it accessible to anyone who seeks to extend and improve their analytic thinking skills. Going beyond a basic grasp of analytic thinking that everyone can benefit from, the STEM student who truly masters mathematical thinking will find that college-level mathematics goes from being confusing, frustrating, and at times seemingly impossible, to making sense and being hard but doable. Dr. Keith Devlin is a professional mathematician at Stanford University and the author of 31 previous books and over 80 research papers. His books have earned him many awards, including the Pythagoras Prize, the Carl Sagan Award, and the Joint Policy Board for Mathematics Communications Award. He is known to millions of NPR listeners as “the Math Guy” on Weekend Edition with Scott Simon. He writes a popular monthly blog “Devlin’s Angle” for the Mathematical Association of America, another blog under the name “profkeithdevlin”, and also blogs on various topics for the Huffington Post.

    Tom Hayes, a brilliant but troubled mathematician, became the lynchpin of a wild alliance that included a prickly French trader nicknamed “Gollum”; the broker “Abbo,” who liked to publicly strip naked when drinking; a nervous Kazakh chicken farmer known as “Derka Derka”; a broker known as “Village” (short for “Village Idiot”) who racked up huge expense account bills; an executive called “Clumpy” because of his patchwork hair loss; and a broker uncreatively nicknamed “Big Nose” who had once been a semi-professional boxer. This group generated incredible riches —until it all unraveled in spectacularly vicious, backstabbing fashion.With exclusive access to key characters and evidence, The Spider Network is not only a rollicking account of the scam, but also a provocative examination of a financial system that was crooked throughout.

    "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.

    By “reverse engineering the fastest growing company in the history of the world,” author Jeff Jarvis, proprietor of Buzzmachine.com, one of the Web’s most widely respected media blogs, offers indispensible strategies for solving the toughest new problems facing businesses today. With a new afterword from the author, What Would Google Do? is the business book that every leader or potential leader in every industry must read.

    Porter). We've combed through hundreds of Harvard Business Review articles and selected the most important ones to help you catalyze your organization's strategy development and execution.HBR's 10 Must Reads on Strategy will inspire you to:• Distinguish your company from rivals• Clarify what your company will and won't do• Craft a vision for an uncertain future• Create blue oceans of uncontested market space• Use the Balanced Scorecard to measure your strategy• Capture your strategy in a memorable phrase• Make priorities explicit• Allocate resources early• Clarify decision rights for faster decision making"This collection of best-selling articles includes: featured article "What Is Strategy?" by Michael E. Porter, "The Five Competitive Forces That Shape Strategy," "Building Your Company's Vision," "Reinventing Your Business Model," "Blue Ocean Strategy," "The Secrets to Successful Strategy Execution," "Using the Balanced Scorecard as a Strategic Management System," "Transforming Corner-Office Strategy into Frontline Action," "Turning Great Strategy into Great Performance," and "Who Has the D? How Clear Decision Roles Enhance Organizational Performance."

    This revised edition features amended chapters on choosing a business, adding partners, getting funded, and managing the business structure and employees, and also includes help understanding the latest tax and healthcare reform information and legalities.