The hands of a pocket watch reveal the time of day without following every spring, cog, and movement behind the face. Similarly, an OPPM template reduces any project--no matter how large or complicated--to a simple one-page document, perfect for communicating to upper management and other project stakeholders. Now in its Second Edition, this practical guide, currently saving time and effort in thousands of organizations worldwide, has itself been simplified, then refined and extended to include the innovative AgileOPPM(TM).This Second Edition will include new material and updates including an introduction of the ground-breaking AgileOPPM(TM) and an overview of MyOPPM(TM) template builder, available on-line Includes references throughout the book to the affiliated sections in the Project Management Body of Knowledge (PMBOK(R)) Shows templates for the Project Management Office (PMO) This new and updated Second Edition will help you master the one-page approach to both traditional project management and Agile project management.(PMBOK is a registered marks of the Project Management Institute, Inc.)

    Poker's biggest players, such as Phil Ivey (2009 WSOP Main Event Finalist), Johnny Chan, Phil Hellmuth, Doyle Brunson and Daniel Negreanu give first-person accounts of their personal journeys and the key moments in their rise to the top of the poker pantheon. These stories will teach, inspire and make you laugh. Deal Me In humanizes the larger-than-life personalities, allowing the reader to understand more about poker strategy through the trials and errors of the best players in the game. Each poker legend tells his or her own story in the book including: Doyle Brunson, Phil Hellmuth, Daniel Negreanu, Phil Ivey, Annie Duke, Johnny Chan, Chris Jesus Ferguson, Carlos Mortensen, Chau Giang, Jennifer Harman, Allen Cunningham, Howard Lederer, Erik Seidel, Chad Brown, David Devilfish Ulliott, Layne Flack, Scotty Nguyen, Annette Obrestad, Tom Dwan and the 2008 Main Event winner Peter Eastgate.

    More and more CEOs are failing; there remains an acute shortage of capable replacements. The true dilemma in leadership is the stagnant state of corporate leadership development. Because companies fail to hone their unit manager's leadership abilities, they are unable to fill their succession pipelines. With unit managers stagnating, companies have difficulty executing at every level, compounding the crisis. In this audiobook, bestselling author Ram Charan shows how top companies approach leadership development as a core competency, recognizing that an adaptable leadership pool is a competitive advantage, and focusing their attention on bringing out the best in the leaders they have.Charan reveals exactly what's wrong with corporate leadership development and tells listeners how to make it right. He explains the concept of a leadership "gene pool" and shows how companies can discover just what "DNA" they need to succeed. He also details how to uncover the hidden leaders in a company, when and where to bring in fresh talent, how to coach, measure, reward leadership, and much more. This is a perfect guide for CEOs, directors, and anyone involved in leadership development.

    This book is gripping tale for anyone who has been or loves someone who has been recruited into a network marketing business. This well documented book has been utilized by government authorities in both India and the UK to take action against Amway's deceptive business scheme which knowingly has created losses for the majority of all induced to invest.

    Generations have grown up with Cilla's music, TV shows, and performances. But how much do we really know about 'the girl with the bright red hair and the jet black voice'? What's It All About? is Cilla's own story, told for the first time ever. It's the story of a woman who has worked ceaselessly to stay at the top for forty years despite setbacks and personal tragedy; a life of incredible highs and terrible lows. In this deeply personal autobiography she tells her unique story in intimate and vivid detail for the very first time. This is the real Cilla Black.

    She uses a highly instructive and entertaining story to show how to quickly recognize any undermining questions that pop into your mind--or out of your mouth--and reframe them to achieve amazingly positive and practical results. The third edition includes a new introduction and epilogue and two powerful new tools that show how Question Thinking can dramatically improve coaching and leadership. Based on Adams's decades of research and experience, this book can make a life-transforming difference--as it already has for many thousands of people around the world.

    Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you're familiar with the R programming language, and have some exposure to statistics, this quick reference bridges the gap in an accessible, readable format.With this book, you'll learn:Why exploratory data analysis is a key preliminary step in data scienceHow random sampling can reduce bias and yield a higher quality dataset, even with big dataHow the principles of experimental design yield definitive answers to questionsHow to use regression to estimate outcomes and detect anomaliesKey classification techniques for predicting which categories a record belongs toStatistical machine learning methods that "learn" from dataUnsupervised learning methods for extracting meaning from unlabeled data

    Fast delivery through DHL/FedEx express.

    Cases, datasets, and examples allow for a more real-world perspective and explore relevant uses of regression techniques in business today.

    It is designed as a reference for students in the physical sciences and engineering.

    This text condenses over 30 years of hands-on project management experience to show you what to do in simple, smart and practical steps.

    The first type drain intelligence, energy, and capability from the ones around them and always need to be the smartest ones in the room. These are the idea killers, the energy sappers, the diminishers of talent and commitment. On the other side of the spectrum are leaders who use their intelligence to amplify the smarts and capabilities of the people around them. When these leaders walk into a room, lightbulbs go off over people's heads, ideas flow, and problems get solved. These are the leaders who inspire employees to stretch themselves to deliver results that surpass expectations. These are the Multipliers. And the world needs more of them, especially now, when leaders are expected to do more with less. In this engaging and highly practical book, leadership expert Liz Wiseman and management consultant Greg McKeown explore these two leadership styles, persuasively showing how Multipliers can have a resoundingly positive and profitable effect on organizations—getting more done with fewer resources, developing and attracting talent, and cultivating new ideas and energy to drive organizational change and innovation. In analyzing data from more than 150 leaders, Wiseman and McKeown have identified five disciplines that distinguish Multipliers from Diminishers. These five disciplines are not based on innate talent; indeed, they are skills and practices that everyone can learn to use, even lifelong and recalcitrant Diminishers. Lively, real-world case studies and practical tips and techniques bring to life each of these principles, showing you how to become a Multiplier too, whether you are a new or an experienced manager. Just imagine what you could accomplish if you could harness all the energy and intelligence around you. Multipliers will show you how.

    Packed with practical recipes written and tested with Python 3.3, this unique cookbook is for experienced Python programmers who want to focus on modern tools and idioms.Inside, you’ll find complete recipes for more than a dozen topics, covering the core Python language as well as tasks common to a wide variety of application domains. Each recipe contains code samples you can use in your projects right away, along with a discussion about how and why the solution works.Topics include:Data Structures and AlgorithmsStrings and TextNumbers, Dates, and TimesIterators and GeneratorsFiles and I/OData Encoding and ProcessingFunctionsClasses and ObjectsMetaprogrammingModules and PackagesNetwork and Web ProgrammingConcurrencyUtility Scripting and System AdministrationTesting, Debugging, and ExceptionsC Extensions

    The book begins by introducing the R language, including the development environment. Focusing on practical solutions, the book also offers a crash course in practical statistics and covers elegant methods for dealing with messy and incomplete data using features of R.About the TechnologyR is a powerful language for statistical computing and graphics that can handle virtually any data-crunching task. It runs on all important platforms and provides thousands of useful specialized modules and utilities. This makes R a great way to get meaningful information from mountains of raw data.About the BookR in Action is a language tutorial focused on practical problems. It presents useful statistics examples and includes elegant methods for handling messy, incomplete, and non-normal data that are difficult to analyze using traditional methods. And statistical analysis is only part of the story. You'll also master R's extensive graphical capabilities for exploring and presenting data visually. Purchase of the print book comes with an offer of a free PDF, ePub, and Kindle eBook from Manning. Also available is all code from the book. What's InsidePractical data analysis, step by stepInterfacing R with other softwareUsing R to visualize dataOver 130 graphsEight reference appendixes================================Table of ContentsPart I Getting startedIntroduction to RCreating a datasetGetting started with graphsBasic data managementAdvanced data managementPart II Basic methodsBasic graphsBasic statisticsPart III Intermediate methodsRegressionAnalysis of variancePower analysisIntermediate graphsRe-sampling statistics and bootstrappingPart IV Advanced methodsGeneralized linear modelsPrincipal components and factor analysisAdvanced methods for missing dataAdvanced graphics

    In this handbook, data expert Q. Ethan McCallum has gathered 19 colleagues from every corner of the data arena to reveal how they’ve recovered from nasty data problems.From cranky storage to poor representation to misguided policy, there are many paths to bad data. Bottom line? Bad data is data that gets in the way. This book explains effective ways to get around it.Among the many topics covered, you’ll discover how to:Test drive your data to see if it’s ready for analysisWork spreadsheet data into a usable formHandle encoding problems that lurk in text dataDevelop a successful web-scraping effortUse NLP tools to reveal the real sentiment of online reviewsAddress cloud computing issues that can impact your analysis effortAvoid policies that create data analysis roadblocksTake a systematic approach to data quality analysis