Hacking the Case Interview


Book Description

To land a management consulting job at any of the top firms, including McKinsey, BCG, Bain, Deloitte, L.E.K., Oliver Wyman and Accenture, you must get through several rounds of case interviews. Whether your interview is in a few weeks or even tomorrow, this book is written to get you the maximum amount of knowledge in the least amount of time. I cut out all of the filler material that some other consulting books have, and tell you everything that you need to know in a clear and direct way. With this shortcut guide, you will: Understand and become proficient at the nine different parts of a case interview, and know exactly what to say and do in each step Learn the only framework strategy that you need to memorize to craft unique and tailored frameworks for every possible case scenario Gain knowledge of basic business terms and principles so that you can develop an astute business intuition Acquire the skills to solve any market sizing or other quantitative problem Uncover how to differentiate yourself from the thousands of other candidates who are fighting to get the same job you are Practice your case interview skills with included practice cases and sample answers Also visit HackingTheCaseInterview.com for a one-week online crash course to pass your upcoming interview.







Full Preparation


Book Description




Sagmeister & Walsh: Beauty


Book Description

Acclaimed designers Sagmeister & Walsh explore the essence of beauty and the transformative power of beautiful design In this groundbreaking highly visual book, world-renowned designers Stefan Sagmeister and Jessica Walsh set out on a mission: to find out what beauty is and the many ways that it impacts our lives. They turn to philosophy, history, and science to understand why we are drawn to beauty and how it influences the way we feel and behave. Determined to translate their findings into action, Sagmeister & Walsh show us how beauty can improve the world.










Cross-Cultural Analysis


Book Description

The first comprehensive and statistically significant analysis of the predictive powers of each cross-cultural model, based on nation-level variables from a range of large-scale database sources such as the World Values Survey, the Pew Research Center, the World Bank, the World Health Organization, the UN Statistics Division, UNDP, the UN Office on Drugs and Crime, TIMSS, OECD PISA. Tables with scores for all culture-level dimensions in all major cross-cultural analyses (involving 20 countries or more) that have been published so far in academic journals or books. The book will be an invaluable resource to masters and PhD students taking advanced courses in cross-cultural research and analysis in Management, Psychology, Sociology, Anthropology, and related programs. It will also be a must-have reference for academics studying cross-cultural dimensions and differences across the social and behavioral sciences.




Act Like a Lady, Think Like a Man LP


Book Description

Steve Harvey, the host of the nationally syndicated Steve Harvey Morning Show, can't count the number of impressive women he's met over the years, whether it's through the "Strawberry Letters" segment of his program or while on tour for his comedy shows. Yet when it comes to relationships, they can't figure out what makes men tick. Why? According to Steve it's because they're asking other women for advice when no one but another man can tell them how to find and keep a man. In Act Like a Lady, Think Like a Man, Steve lets women inside the mindset of a man and sheds light on concepts and questions such as: The Ninety Day Rule: Ford requires it of its employees. Should you require it of your man? The five questions every woman should ask a man to determine how serious he is. And much more . . . Sometimes funny, sometimes direct, but always truthful, Act Like a Lady, Think Like a Man is a book you must read if you want to understand how men think when it comes to relationships.




Fortunate Life


Book Description

Albert Facey’s story is the story of Australia.Born in 1894, and first sent to work at the age of eight, Facey lived the rough frontier life of a labourer and farmer and jackaroo, becoming lost and then rescued by Indigenous trackers, then gaining a hard-won literacy, surviving Gallipoli, raising a family through the Depression, losing a son in the Second World War, and meeting his beloved Evelyn with whom he shared nearly sixty years of marriage.Despite enduring unimaginable hardships, Facey always saw his life as a fortunate one.A true classic of Australian literature, Facey’s simply penned story offers a unique window onto the history of Australian life through the greater part of the twentieth century – the extraordinary journey of an ordinary man.




Statistics Done Wrong


Book Description

Scientific progress depends on good research, and good research needs good statistics. But statistical analysis is tricky to get right, even for the best and brightest of us. You'd be surprised how many scientists are doing it wrong. Statistics Done Wrong is a pithy, essential guide to statistical blunders in modern science that will show you how to keep your research blunder-free. You'll examine embarrassing errors and omissions in recent research, learn about the misconceptions and scientific politics that allow these mistakes to happen, and begin your quest to reform the way you and your peers do statistics. You'll find advice on: –Asking the right question, designing the right experiment, choosing the right statistical analysis, and sticking to the plan –How to think about p values, significance, insignificance, confidence intervals, and regression –Choosing the right sample size and avoiding false positives –Reporting your analysis and publishing your data and source code –Procedures to follow, precautions to take, and analytical software that can help Scientists: Read this concise, powerful guide to help you produce statistically sound research. Statisticians: Give this book to everyone you know. The first step toward statistics done right is Statistics Done Wrong.