This book was wonderful education for people, education in how to live life effectively and get closer to the ideal of being a ‘success’ in life.But not everyone understands Stephen Covey’s model fully well, or maybe there are some people who haven’t read it yet. This is definitely true because we still see so much failure all around us. Now, I am not saying that by using Covey’s model, or anyone else’s model for that matter, you can become a sure-shot success, but at least we should have seen many more successes around us already judging by the number of copies the book has sold! So, where is the shortcoming?There are two main problems here, and we are talking only about the people who have read the book already. The first problem is that most people are too lazy to implement the ideals of Stephen Covey in their lives. They consider his masterpiece of a book as a mere coffee-table book or a book that you use for light reading when you are traveling and then forget all about it. They do not realize that this book contains life-changing information. Or, they take the information and do not make the effort to actually utilize it so that it becomes knowledge for them.The second problem is that a lot of people have a myopic view of Covey’s ideals. These are people who are impressed by the book already. If you ask them what the seven habits are, they can rattle them off end to end, but then they miss the larger picture. They do not understand that Covey was trying to tell more than he wrote in words. There are hidden implications in this book, yes, and a lot of people have just failed to see through them.That is what we are trying to do. We are trying to show you how Covey’s book, or rather, his model, was a complete model in itself. There was nothing amiss about it. If you implement it, there should be no aspect of your life that should go untouched. The only thing is that you have to understand these ideals and try to implement them in your life.But, before we barge into that area, it is extremely important to understand what these ideals are. What was the model that was propounded by Stephen Covey in his mega-famous book? We shall begin by trying to understand his model first, and then interpret it in such a way that it pertains to every aspect of our life

    The book soared to the top of bestseller lists internationally, igniting global conversations about women and ambition. Sandberg packed theatres, dominated opinion pages, appeared on every major television show and on the cover of Time magazine, and sparked ferocious debate about women and leadership. Ask most women whether they have the right to equality at work and the answer will be a resounding yes, but ask the same women whether they'd feel confident asking for a raise, a promotion, or equal pay, and some reticence creeps in. The statistics, although an improvement on previous decades, are certainly not in women's favour – of 197 heads of state, only twenty-two are women. Women hold just 20 percent of seats in parliaments globally, and in the world of big business, a meagre eighteen of the Fortune 500 CEOs are women. In Lean In, Sheryl Sandberg – Facebook COO and one of Fortune magazine's Most Powerful Women in Business – draws on her own experience of working in some of the world's most successful businesses and looks at what women can do to help themselves, and make the small changes in their life that can effect change on a more universal scale.

    No matter how hard you try to reason with them, it never works. So what’s the solution? How do you talk to someone who’s out of control? What can you do with a boss who bullies, a spouse who yells, or a friend who frequently bursts into tears?In his book, Just Listen, Mark Goulston shared his bestselling formula for getting through to the resistant people in your life. Now, in his breakthrough new book Talking to Crazy, he brings his communication magic to the most difficult group of all—the downright irrational.As a psychiatrist, Goulston has seen his share of crazy and he knows from experience that you can’t simply argue it away. The key to handling irrational people is to learn to lean into the crazy—to empathize with it. That radically changes the dynamic and transforms you from a threat into an ally. Talking to Crazy explains this counterintuitive Sanity Cycle and reveals:• Why people act the way they do• How instinctive responses can exacerbate the situation—and what to do instead• When to confront a problem and when to walk away• How to use a range of proven techniques including Time Travel, the Fish-bowl, and the Belly Roll• And much moreYou can’t reason with unreasonable people—but you can reach them. This powerful and practical book shows you how.

    In Ten Arguments For Deleting Your Social Media Accounts Right Now Jaron Lanier draws on his insider's expertise to explain precisely how social media works and why its cruel and dangerous effects are at the heart of its current business model and design. As well as offering ten simple arguments for liberating yourself from its addictive hold, his witty and urgent manifesto outlines a vision for an alternative that provides all the benefits of social media without the harm. nicer person in the process.

    From Washington to Wall Street, the classroom to the workplace, unethical behavior is everywhere. None of us is immune, whether it's the white lie to head off trouble or padding our expense reports. In The (Honest) Truth About Dishonesty, award-winning, bestselling author Dan Ariely turns his unique insight and innovative research to the question of dishonesty.Generally, we assume that cheating, like most other decisions, is based on a rational cost-benefit analysis. But Ariely argues, and then demonstrates, that it's actually the irrational forces that we don't take into account that often determine whether we behave ethically or not. For every Enron or political bribe, there are countless puffed résumés, hidden commissions, and knockoff purses. In The (Honest) Truth About Dishonesty, Ariely shows why some things are easier to lie about; how getting caught matters less than we think; and how business practices pave the way for unethical behavior, both intentionally and unintentionally. Ariely explores how unethical behavior works in the personal, professional, and political worlds, and how it affects all of us, even as we think of ourselves as having high moral standards.But all is not lost. Ariely also identifies what keeps us honest, pointing the way for achieving higher ethics in our everyday lives. With compelling personal and academic findings, The (Honest) Truth About Dishonesty will change the way we see ourselves, our actions, and others.

    Understanding someone’s pattern of behavior is the key to successful communication. Erikson breaks down the four kinds of behavior types—Reds who are dominant and commanding, Yellows who are social and optimistic, Greens who are laid back and friendly, and Blues who are analytical and precise—and explains how to identify and interact with each type of person. Instead of being bogged down with overly technical categorizations, the simple four color system allows you to speedily identify a friend or coworker and adjust how you speak and share with them.Surrounded by Idiots is full of practical information for interacting with people based on their color, including the strengths and weaknesses of all the profiles, how to give positive and negative feedback to each, and the best way to word an email when writing to someone with a different profile.

    This internationally recognized standard provides the essential tools to practice project management and deliver organizational results.

    Now, two science professors give us the tools to dismantle misinformation and think clearly in a world of fake news and bad data.It's increasingly difficult to know what's true. Misinformation, disinformation, and fake news abound. Our media environment has become hyperpartisan. Science is conducted by press release. Startup culture elevates bullshit to high art. We are fairly well equipped to spot the sort of old-school bullshit that is based in fancy rhetoric and weasel words, but most of us don't feel qualified to challenge the avalanche of new-school bullshit presented in the language of math, science, or statistics. In Calling Bullshit, Professors Carl Bergstrom and Jevin West give us a set of powerful tools to cut through the most intimidating data.You don't need a lot of technical expertise to call out problems with data. Are the numbers or results too good or too dramatic to be true? Is the claim comparing like with like? Is it confirming your personal bias? Drawing on a deep well of expertise in statistics and computational biology, Bergstrom and West exuberantly unpack examples of selection bias and muddled data visualization, distinguish between correlation and causation, and examine the susceptibility of science to modern bullshit.We have always needed people who call bullshit when necessary, whether within a circle of friends, a community of scholars, or the citizenry of a nation. Now that bullshit has evolved, we need to relearn the art of skepticism.

    In recent years, while continuing to learn more about strengths, Gallup scientists have also been ex....

    But facing the sea change that AI will bring can be paralyzing. How should companies set strategies, governments design policies, and people plan their lives for a world so different from what we know? In the face of such uncertainty, many analysts either cower in fear or predict an impossibly sunny future.But in Prediction Machines, three eminent economists recast the rise of AI as a drop in the cost of prediction. With this single, masterful stroke, they lift the curtain on the AI-is-magic hype and show how basic tools from economics provide clarity about the AI revolution and a basis for action by CEOs, managers, policy makers, investors, and entrepreneurs.When AI is framed as cheap prediction, its extraordinary potential becomes clear: Prediction is at the heart of making decisions under uncertainty. Our businesses and personal lives are riddled with such decisions. Prediction tools increase productivity--operating machines, handling documents, communicating with customers. Uncertainty constrains strategy. Better prediction creates opportunities for new business structures and strategies to compete. Penetrating, fun, and always insightful and practical, Prediction Machines follows its inescapable logic to explain how to navigate the changes on the horizon. The impact of AI will be profound, but the economic framework for understanding it is surprisingly simple.

    In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

    In this one-of-a-kind text, author V. Anton Spraul breaks down the ways that programmers solve problems and teaches you what other introductory books often ignore: how to Think Like a Programmer. Each chapter tackles a single programming concept, like classes, pointers, and recursion, and open-ended exercises throughout challenge you to apply your knowledge. You'll also learn how to:Split problems into discrete components to make them easier to solve Make the most of code reuse with functions, classes, and libraries Pick the perfect data structure for a particular job Master more advanced programming tools like recursion and dynamic memory Organize your thoughts and develop strategies to tackle particular types of problems Although the book's examples are written in C++, the creative problem-solving concepts they illustrate go beyond any particular language; in fact, they often reach outside the realm of computer science. As the most skillful programmers know, writing great code is a creative art—and the first step in creating your masterpiece is learning to Think Like a Programmer.

    His second book is the natural extension of Start with Why, expanding his ideas at the organizational level. Determining a company’s WHY is crucial, but only the beginning. The next step is how do you get people on board with your WHY? How do you inspire deep trust and commitment to the company and one another? He cites the Marine Corps for having found a way to build a culture in which men and women are willing to risk their lives, because they know others would do the same for them. It’s not brainwashing; it’s actually based on the biology of how and when people are naturally at their best. If businesses could adopt this supportive mentality, employees would be more motivated to take bigger risks, because they’d know their colleagues and company would back them up, no matter what. Drawing on powerful and inspiring stories, Sinek shows how to sustain an organization’s WHY while continually adding people to the mix.

    What you'll find here is practical magic: unique knowledge, drawn from a variety of sciences, revealing what charisma really is and how it works. You'll get both the insights and the techniques you need to apply this knowledge. The world will become your lab, and every person you meet, a chance to experiment.The Charisma Myth is a mix of fun stories, sound science, and practical tools. Cabane takes a hard scientific approach to a heretofore mystical topic, covering what charisma actually is, how it is learned, what its side effects are, and how to handle them.

    Full of insights, arguments and philosophical perspectives, the book covers an amazing array of topics. Beginning in antiquity with Democritus, it progresses through logic and set theory, computability and complexity theory, quantum computing, cryptography, the information content of quantum states and the interpretation of quantum mechanics. There are also extended discussions about time travel, Newcomb's Paradox, the anthropic principle and the views of Roger Penrose. Aaronson's informal style makes this fascinating book accessible to readers with scientific backgrounds, as well as students and researchers working in physics, computer science, mathematics and philosophy.