You’ll learn…• How a noise reduction headset at 35,000 feet led to the creation of Pepsi’s new trademarked signature sound.• How a worn down sneaker discovered in the home of an 11-year-old German boy led to LEGO’s incredible turnaround.• How a magnet found on a fridge in Siberia resulted in a U.S. supermarket revolution.• How a toy stuffed bear in a girl’s bedroom helped revolutionize a fashion retailer’s 1,000 stores in 20 different countries.• How an ordinary bracelet helped Jenny Craig increase customer loyalty by 159% in less than a year.• How the ergonomic layout of a car dashboard led to the redesign of the Roomba vacuum.

    They have a loud voice, a wealth of choice and their expectations are higher than ever. This book covers ten principles you can use to make real world improvements to your customers’ experiences, whatever your business does and whoever you are. For managers, leaders and those starting a new business, the book shows that making improvements customers will appreciate doesn’t need to be complicated or cost a fortune.

    This work focuses on the maths skills necessary to pass the GMAT, with nearly 300 questions and explanations on subjects such as arithmetic, algebra, geometry and data sufficiency.

    This book is focused on the details of data analysis that sometimes fall through the cracks in traditional statistics classes and textbooks. It is based in part on the authors blog posts, lecture materials, and tutorials. The author is one of the co-developers of the Johns Hopkins Specialization in Data Science the largest data science program in the world that has enrolled more than 1.76 million people. The book is useful as a companion to introductory courses in data science or data analysis. It is also a useful reference tool for people tasked with reading and critiquing data analyses. It is based on the authors popular open-source guides available through his Github account (https://github.com/jtleek). The paper is also available through Leanpub (https://leanpub.com/datastyle), if the book is purchased on that platform you are entitled to lifetime free updates.

    By answering the crucial coaching questions and developing genuine leadership and integrity, you can instill these attributes in those around you. When you put these proven steps and strategies to use, people will follow you willingly – because you’ve shown yourself to be an excellent coach! All business books and coaching books will tell you that the coaching habit is a difficult challenge, and how to coach is no easy task, but when you put these coaching skills to the test, you’ll be coaching teams to winning performances in no time! When you purchase The 7 Laws of Coaching, you’ll get a FREE bonus e-book: Developing Powerful Visions: Learn the Art of Empowering People Around You and Live With Purpose In The 7 Laws of Coaching, Brian Cagneey explains: The 1st Law of Coaching: Developing the Right Mindset The 2nd Law of Coaching: Being Strong Without Being Mean The 3rd Law of Coaching: The Secret to Finding Solutions The 4th Law of Coaching: A Special Ingredient for Motivating People The 5th Law of Coaching: The Forgotten Law of Getting Results The 6th Law of Coaching: The Only Way Someone Can Improve The 7th Law of Coaching: Keeping Everyone on Track Don’t wait another minute – Purchase The 7 Laws of Coaching: Powerful Coaching Skills that will Predict Your Team’s Success! today! Just Scroll Up and Hit the “Buy With One Click” Button – It’s Fast and Easy! This book has a 100% Money Back Guarantee. If these principles don’t work for you, send it back. No questions asked! DON'T WAIT! LEARN THE SECRETS OF COACHING WITH THESE 7 LAWS! PURCHASE your copy NOW Tags: coaching, coaching business, coaching questions, questions for coaches, coaching books, coaching sports, books on coaching, habits of coaching, habits of a coach, the coaching habit, coaching skills, coaching skill, how to be a good coach, how to coach, coaching teams, coaching business teams, life coaching

    With The Data Journalism Handbook, you’ll explore the potential, limits, and applied uses of this new and fascinating field.This valuable handbook has attracted scores of contributors since the European Journalism Centre and the Open Knowledge Foundation launched the project at MozFest 2011. Through a collection of tips and techniques from leading journalists, professors, software developers, and data analysts, you’ll learn how data can be either the source of data journalism or a tool with which the story is told—or both.Examine the use of data journalism at the BBC, the Chicago Tribune, the Guardian, and other news organizationsExplore in-depth case studies on elections, riots, school performance, and corruptionLearn how to find data from the Web, through freedom of information laws, and by "crowd sourcing"Extract information from raw data with tips for working with numbers and statistics and using data visualizationDeliver data through infographics, news apps, open data platforms, and download links

    Discover the “hidden gold” in Python’s standard library and start writing clean and Pythonic code today. Who Should Read This Book: If you’re wondering which lesser known parts in Python you should know about, you’ll get a roadmap with this book. Discover cool (yet practical!) Python tricks and blow your coworkers’ minds in your next code review. If you’ve got experience with legacy versions of Python, the book will get you up to speed with modern patterns and features introduced in Python 3 and backported to Python 2. If you’ve worked with other programming languages and you want to get up to speed with Python, you’ll pick up the idioms and practical tips you need to become a confident and effective Pythonista. If you want to make Python your own and learn how to write clean and Pythonic code, you’ll discover best practices and little-known tricks to round out your knowledge. What Python Developers Say About The Book: "I kept thinking that I wished I had access to a book like this when I started learning Python many years ago." — Mariatta Wijaya, Python Core Developer"This book makes you write better Python code!" — Bob Belderbos, Software Developer at Oracle"Far from being just a shallow collection of snippets, this book will leave the attentive reader with a deeper understanding of the inner workings of Python as well as an appreciation for its beauty." — Ben Felder, Pythonista"It's like having a seasoned tutor explaining, well, tricks!" — Daniel Meyer, Sr. Desktop Administrator at Tesla Inc.

    E. B. Du Bois offered a view into the lives of black Americans, conveying a literal and figurative representation of "the color line." From advances in education to the lingering effects of slavery, these prophetic infographics--beautiful in design and powerful in content--make visible a wide spectrum of black experience.W. E. B. Du Bois's Data Portraits collects the complete set of graphics in full color for the first time, making their insights and innovations available to a contemporary imagination. As Maria Popova wrote, these data portraits shaped how "Du Bois himself thought about sociology, informing the ideas with which he set the world ablaze three years later in The Souls of Black Folk."

    The History of the World, but not as you know it.A new type of history is here – all 13.8 billion years of it, exploded into a visually jaw-dropping feast of facts, trends and timelines that tell you everything you’d ever want to know about the history of the world.From the primordial soup to the technological revolution of the 21st century, interesting stuff has been going on; and ever since prehistoric man scratched the first tally markings into a damp cave wall, we’ve been counting and measuring it all.Which historic warriors conquered the most territory, killed the most people, or had the largest empire?When did everything evolve?Which languages are related to which?What’s been invented and when?Where are we being born, and what are we dying of?Which countries are eating all the food, causing all the pollution and taking all the drugs?A story of civilisation and barbarism, of war and peace, this is history done in a new way – a beautifully designed collection of the most insightful and revealing trends that tell us what the human race has been up to, and where we’re heading.

    The novel approach taken here banishes determinants to the end of the book and focuses on the central goal of linear algebra: understanding the structure of linear operators on vector spaces. The author has taken unusual care to motivate concepts and to simplify proofs. For example, the book presents - without having defined determinants - a clean proof that every linear operator on a finite-dimensional complex vector space (or an odd-dimensional real vector space) has an eigenvalue. A variety of interesting exercises in each chapter helps students understand and manipulate the objects of linear algebra. This second edition includes a new section on orthogonal projections and minimization problems. The sections on self-adjoint operators, normal operators, and the spectral theorem have been rewritten. New examples and new exercises have been added, several proofs have been simplified, and hundreds of minor improvements have been made throughout the text.

    It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought.Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.”Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.

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

    This time, he turns his keen intellect and storytelling power to the fascinating, complex world of teams. Kathryn Petersen, Decision Tech's CEO, faces the ultimate leadership crisis: Uniting a team in such disarray that it threatens to bring down the entire company. Will she succeed? Will she be fired? Will the company fail? Lencioni's utterly gripping tale serves as a timeless reminder that leadership requires as much courage as it does insight. Throughout the story, Lencioni reveals the five dysfunctions which go to the very heart of why teams even the best ones-often struggle. He outlines a powerful model and actionable steps that can be used to overcome these common hurdles and build a cohesive, effective team. Just as with his other books, Lencioni has written a compelling fable with a powerful yet deceptively simple message for all those who strive to be exceptional team leaders.

    By combining millions of data points with stunning design, they investigate how flights stack over Heathrow, who lives longest, and where Londoners love to tweet. The result? One hundred portraits of an old city in a very new way.

    From economic development, to healthcare, to education and public policy, we rely on numbers to allocate resources and make crucial decisions. But because so much data fails to take into account gender, because it treats men as the default and women as atypical, bias and discrimination are baked into our systems. And women pay tremendous costs for this bias, in time, money, and often with their lives.Celebrated feminist advocate Caroline Criado Perez investigates the shocking root cause of gender inequality and research in Invisible Women​, diving into women’s lives at home, the workplace, the public square, the doctor’s office, and more. Built on hundreds of studies in the US, the UK, and around the world, and written with energy, wit, and sparkling intelligence, this is a groundbreaking, unforgettable exposé that will change the way you look at the world.