The authors have extensive experience both managing data analysts and conducting their own data analyses, and have carefully observed what produces coherent results and what fails to produce useful insights into data. This book is a distillation of their experience in a format that is applicable to both practitioners and managers in data science.

    When we listen, we can notice that there are seven main lessons he encourages for people to learn. By learning and implementing these lessons and habits into your everyday life, you can increase your likelihood of achieving your goals and manifesting your dreams into reality. These habits work in both your personal life, as well as your career life, and will assist you in making the most of any opportunity. It is important to realize that you must work simultaneously on your personal and business lives to achieve success in either, because as Anthony says: “Success without fulfillment is failure.” You cannot truly succeed in one, if you are unhappy and failing within’ the other.

    On an unexpected night she meets Zacari Roberts and there is an instant love connection between the two. The whirlwind romance between the two is almost perfect, but everybody isn't happy about their newfound love. Find out what happens when the people you trust and love the most turn on you because of their own selfish reasons. Will Skye continue to be blind or will she find out that she really "Can't Trust Her?"

    During her stay there, she has made millions supplying the prison, and has half the staff on her payroll.With Messiah's release on his mind, Rasheed is the crack king of the tri state area. Nothing moves without his stamp of approval. With Ock as his right hand, they're dominating the game right now. His twin daughters are now three years old, and the spitting image of Messiah. They're the apple to his eye, all he is missing is his Queen to complete their Cocaine kingdom.While Messiah's incarceration, Jaylah took time off to be a wife and raise her son. Now with Messiah coming home, Ock notices she's cleaning her guns, ready for war. Will he be happy getting the Bonnie to his Clyde back?Eli is now married with a daughter by Tyesha. He's making money, but can't help but to keep falling short to the drug empire Rasheed has built. Knowing Messiah's release date is coming soon, he's strapped up to make sure his wife and daughter are protected. He wants to get Messiah before she gets him.... Will he?Messiah comes home and realizes that the Rasheed she left three years ago, isn't the same Rasheed. He's changed and so has she. Not willing to let Messiah get back to the streets, they fight constantly. Messiah struggles with being a wife, a mother and trap queen. Can she be all three?Courage comes to New York to find out about this cocaine princess. He's captivated by her, and wants to make her, his. Will Messiah's heart allow her to fall for someone else?LJ is happy that his sister is coming home,so he can end Juan's life. With his fiancé, Bronx by his side, they're ready to get at him. While in Miami, Bronx meets ,Karter. She's the daughter to the world's biggest distributor, Frank.Bronx may have stumbled onto a gold mine. However, will Messiah take another Cocaine Princess supplying her?The Cocaine Empire is finally complete and it's time for the Trap Queens and Crack Kings to protect it.

    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

    What's new in the Second Edition? 1. Fully compliant with the latest version of SPSS version 12 2. More coverage of advanced statistics including completely new coverage of non-parametric statistics. The book is 50 per cent longer than the First Edition. 3. Each section of each chapter now has a notation - 1,2 or 3 - referring to the intended level of study. This helps students navigate their way through the book and makes it user-friendly for students of ALL levels. 4. Has a 'how to use this book' section at the start of the text. 5. Characters in each chapter have defined roles - summarizing key points, to pose questions etc 6. Each chapter now has several examples for students to work through. Answers provided on the enclosed CD-ROM

    Yet although the heart of Six Sigma is statistics, most books on Six Sigma give a general overview, with little detail on actually Using the Six Sigma tools. Books that cover Six Sigma statistics typically are 500+ pages and cost near USD100. Basic Statistics for Six Sigma gives the information needed to apply the statistical tools of Six Sigma to real-world problems in a simplified, USD24.95 paperback format, for Greenbelts and Six Sigma Project Team Leaders. A typical company's Greenbelt training in Six Sigma includes 7 books, 4 software packages, and 3 weeks of class work. It is very extensive in statistics. Although this kind of course is excellent, not all companies or individuals want to commit to that level of instruction. Statistics for Six Sigma--Made Easy! describes only the tools used by most successful Six Sigma practitioners. The only software package needed is Excel, and the 14 formulas and 5 tables included in the book enable you to use all the basic Six Sigma statistical tools. Using these tools will enable a person t

    of Wisconsin-Madison) and Wichern (Texas A&M U.) present the newest edition of this college text on the statistical methods for describing and analyzing multivariate data, designed for students who have taken two or more statistics courses. The fifth edition includes the addition of seve

    Or it can be a way to lose your shirt. What determines whether you get rich or go broke can often be a tiny detail here, a missed opportunity there. The margin for error is slim. Heck, it’s non-existent. Fortunes are amassed by experienced options traders who know how to use this strategy THE RIGHT WAY. And financial lives are destroyed by those who don’t. This book will catapult you into that first category. Without all the fluff and B.S. that you don’t need. The Bullsh*t Free Guide to Iron Condors is a TRUE no-nonsense guide to the Iron Condor strategy, written by an experienced trader who lives (or dies) by working it every day. It’s designed as a real-life, step-by-step guide for experienced options traders who want to use this strategy the RIGHT WAY -- which means the CONSISTENTLY PROFITABLE way. In the book you’ll discover: * 6 little-known techniques for adjusting trades that go bad (most experienced traders don’t even know these) * How to create a trading journal and trading log, and why it’s CRUCIAL that you do. (Note: the book includes downloadable examples you can use yourself.) * The 3 ways the world’s top Iron Condor traders manage risk, including detailed examples so you can trade “like the big boys.” * How to save yourself thousands of dollars when entering live trades (this information is closely guarded by many trading “gurus”). * Which option broker is the best for trading Iron Condors. (This is one of the most important decisions you’ll make, so choose wisely.) * How to set up a trading plan that actually works. (We include a sample trading plan to get you started.) * Why weekly options are not as amazing as they sound (and are, in fact, often a HUGE mistake). * How to incorporate volatility into your trading. (You will come to LOVE huge volatility moves after reading this!) * How to eliminate the risk of early assignment. * How to avoid being caught with your pants down on settlement day. (Make this mistake and you can kiss your profits goodbye.)

    The book introduces a wide variety of models, whilst at the same time instructing the reader in how to fit these models using available software packages. The book illustrates the concepts by working through scores of real data examples that have arisen from the authors' own applied research, with programming codes provided for each one. Topics covered include causal inference, including regression, poststratification, matching, regression discontinuity, and instrumental variables, as well as multilevel logistic regression and missing-data imputation. Practical tips regarding building, fitting, and understanding are provided throughout. Author resource page: http: //www.stat.columbia.edu/ gelman/arm/

    This book focuses on practical algorithms that have been used to solve key problems in data mining and which can be used on even the largest datasets. It begins with a discussion of the map-reduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream processing algorithms for mining data that arrives too fast for exhaustive processing. The PageRank idea and related tricks for organizing the Web are covered next. Other chapters cover the problems of finding frequent itemsets and clustering. The final chapters cover two applications: recommendation systems and Web advertising, each vital in e-commerce. Written by two authorities in database and Web technologies, this book is essential reading for students and practitioners alike.

    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.

    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

    It's the first book in the "I've Got Nothing For You.." series. This series of books aims to guide you through the process of becoming financially free through real estate investing. If You Can't Wholesale After This was written for people who are fed up with the traditional "rat race" style of living and want to create a new way of living no matter if you have ever been involved in real estate or have any money of your own. This book will guide your mind and actions to building massive wealth step by step. Todd himself completed his first deal with only $11 in his checking account. He believes that anyone can build financial freedom by changing their mindsets and improving their daily habits. This book will change the way that you think about money and the way you think about the opportunity surrounding you each and every day. This book will inspire you to begin your own real estate business and provide a living for your family that you only dreamed of previously.

    To the almost universal disdain of their friends and professors, these two turned down tempting job offers, borrowed money from friends and family, loaded up on credit card debt, and decided to start a single-product company to manufacture and market a computer mouse shaped like the head of a golf club. They watched enviously as nearly all of their friends became millionaires in the dot-com boom, but they persevered and forged their own path. To chart their progress and to keep themselves motivated against the odds, they kept a diary that recorded the realities of their everyday life as entrepreneurs. Out of their diary entries grew The MouseDriver Chronicles, an intimate, insightful, and often funny look into the minds of two entrepreneurs and how they brought a simple idea to market. From The MouseDriver Chronicles: "School was just about over, and the wondrous combination of brick-baking heat and relentless high humidity that defines summer in south Philadelphia wasn't too far off. We couldn't afford to wait around for it. We needed to blaze to San Francisco and get rolling. Fine. No problem. Except we didn't yet have an office in San Francisco. Or a place to live. Or MouseDrivers in stock. We had all our plans and ambition, but everything real about running a business was ahead of us. Immediately ahead."