The Effective Executive: The Definitive Guide to Getting the Right Things Done


Peter F. Drucker - 1966
    Drucker reminds us, is the ability to "get the right things done." This usually involves doing what other people have overlooked as well as avoiding what is unproductive. Intelligence, imagination, and knowledge may all be wasted in an executive job without the acquired habits of mind that mold them into results.Drucker identifies five practices essential to business effectiveness that can, and must, be learned: Managing time Choosing what to contribute to the organization Knowing where and how to mobilize strength for best effect Setting the right priorities Knitting all of them together with effective decision-makingRanging widely through the annals of business and government, Peter F. Drucker demonstrates the distinctive skill of the executive and offers fresh insights into old and seemingly obvious business situations.

The Coaching Habit: Say Less, Ask More & Change the Way You Lead Forever


Michael Bungay Stanier - 2016
     Drawing on years of experience training more than 10,000 busy managers from around the globe in practical, everyday coaching skills, Bungay Stanier reveals how to unlock your peoples' potential. He unpacks seven essential coaching questions to demonstrate how--by saying less and asking more--you can develop coaching methods that produce great results. – Get straight to the point in any conversation with The Kickstart Question – Stay on track during any interaction with The Awe Question – Save hours of time for yourself with The Lazy Question – and hours of time for others with The Strategic Question – Get to the heart of any interpersonal or external challenge with The Focus Question – and The Foundation Question – Ensure others find your coaching as beneficial as you do with The Learning Question A fresh innovative take on the traditional how-to manual, the book combines insider information with research based in neuroscience and behavioural economics, together with interactive training tools to turn practical advice into practiced habits. Witty and conversational, The Coaching Habit takes your work--and your workplace--from good to great. "Coaching is an art and it's far easier said than done. It takes courage to ask a question rather than offer up advice, provide and answer, or unleash a solution. giving another person the opportunity to find their own way, make their own mistakes, and create their own wisdom is both brave and vulnerable. In this practical and inspiring book, Michael shares seven transformative questions that can make a difference in how we lead and support. And he guides us through the tricky part - how to take this new information and turn it into habits and a daily practice. --Brené Brown, author of Rising Strong and Daring Greatly

The Biggest Bluff: How I Learned to Pay Attention, Master Myself, and Win


Maria Konnikova - 2020
    But she knew her man: a famously thoughtful and broad-minded player, he was intrigued by her pitch that she wasn't interested in making money so much as learning about life. She had faced a stretch of personal bad luck, and her reflections on the role of chance had led her to a giant of game theory, who pointed her to poker as the ultimate master class in learning to distinguish between what can be controlled and what can't. And she certainly brought something to the table, including a Ph.D. in psychology and an acclaimed and growing body of work on human behavior and how to hack it. So Seidel was in, and soon she was down the rabbit hole with him, into the wild, fiercely competitive, overwhelmingly masculine world of high-stakes Texas Hold'em, their initial end point the following year's World Series of Poker.But then something extraordinary happened. Under Seidel's guidance, Konnikova did have many epiphanies about life that derived from her new pursuit, including how to better read, not just her opponents but far more importantly herself; how to identify what tilted her into an emotional state that got in the way of good decisions; and how to get to a place where she could accept luck for what it was, and what it wasn't. But she also began to win. And win. In a little over a year, she began making earnest money from tournaments, ultimately totaling hundreds of thousands of dollars. She won a major title, got a sponsor, and got used to being on television, and to headlines like How one writer's book deal turned her into a professional poker player. She even learned to like Las Vegas.But in the end, Maria Konnikova is a writer and student of human behavior, and ultimately the point was to render her incredible journey into a container for its invaluable lessons. The biggest bluff of all, she learned, is that skill is enough. Bad cards will come our way, but keeping our focus on how we play them and not on the outcome will keep us moving through many a dark patch, until the luck once again breaks our way.

Practical Statistics for Data Scientists: 50 Essential Concepts


Peter Bruce - 2017
    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

Friend & Foe: When to Cooperate, When to Compete, and How to Succeed at Both


Adam Galinsky - 2014
    Some have argued that humans are fundamentally competitive, and that pursuing self-interest is the best way to get ahead. Others claim that humans are born to cooperate and that we are most successful when we collaborate with others. In FRIEND AND FOE, researchers Galinsky and Schweitzer explain why this debate misses the mark. Rather than being hardwired to compete or cooperate, we have evolved to do both. In every relationship, from co-workers to friends to spouses to siblings we are both friends and foes. It is only by learning how to strike the right balance between these two forces that we can improve our long-term relationships and get more of what we want.Here, Galinsky and Schweitzer draw on original, cutting edge research from their own labs and from across the social sciences as well as vivid real-world examples to show how to maximize success in work and in life by deftly navigating the tension between cooperation and competition. They offer insights and advice ranging from: how to gain power and keep it, how to build trust and repair trust once it’s broken, how to diffuse workplace conflict and bias, how to find the right comparisons to motivate us and make us happier, and how to succeed in negotiations – ensuring that we achieve our own goals and satisfy those of our counterparts.Along the way, they pose and offer surprising answers to a number of perplexing puzzles: when does too much talent undermine success; why can acting less competently gain you status and authority, where do many gender differences in the workplace really come from, how can you use deception to build trust, and why do you want to go last on American Idol and in many interview situations, but make the first offer when negotiating the sale of a new car.We perform at our very best when we hold cooperation and competition in the right balance. This book is a guide for navigating our social and professional worlds by learning when to cooperate as a friend and when to compete as a foe—and how to be better at both.

Community: The Structure of Belonging


Peter Block - 2008
    The various sectors of our communities--businesses, schools, social service organizations, churches, government--do not work together. They exist in their own worlds. As do so many individual citizens, who long for connection but end up marginalized, their gifts overlooked, their potential contributions lost. This disconnection and detachment makes it hard if not impossible to envision a common future and work towards it together. We know what healthy communities look like--there are many success stories out there, and they've been described in detail. What Block provides in this inspiring new book is an exploration of the exact way community can emerge from fragmentation: How is community built? How does the transformation occur? What fundamental shifts are involved? He explores a way of thinking about our places that creates an opening for authentic communities to exist and details what each of us can do to make that happen.

Working Successfully with Screwed-Up People


Elizabeth B. Brown - 2012
    Some people just don't listen, don't care, and aren't willing to compromise. And you probably work with some of them. The incomprehensible supervisor. The person in the next office who chats more than works. The customer who, by the way, isn't always right. For all those co-workers who drive you crazy, there's a solution.The bestselling author of Living Successfully with Screwed-Up People turns her insightful eye to the workplace, showing readers how they can get along with and work successfully beside the people who drive them up the wall. "It doesn't take two people to change a relationship in the workplace," says Elizabeth B. Brown. "It takes one--me!" Her expert advice will help workers in any profession learn how to be unflappable, imperturbable, and unflustered when dealing with the difficult people in their workplace.

Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets


Nassim Nicholas Taleb - 2001
    The other books in the series are The Black Swan, Antifragile,and The Bed of Procrustes.

I Shouldn't Be Telling You This: Success Secrets Every Gutsy Girl Should Know


Kate White - 2012
    In I Shouldn't Be Telling You This, she shares her secrets to success. A witty, wise, straight-talking career guide for women, I Shouldn't Be Telling You This is the perfect book for the current economic climate, whether you're just starting out, re-entering the workforce after maternity leave, or simply looking for a career change; essential tips and bold strategies from a gutsy innovator who helped increase Cosmo's circulation by half a million copies per month.

The Fast Forward MBA in Project Management


Eric Verzuh - 1999
    The book teaches the basic methods for defining, planning, and tracking a project, as well as techniques for leading and building strong project teams.This new edition includes: Downloadable, customizable project management formsStudy aids for passing the popular Project Management Professional certification examGuidelines for building high-performance project teamsNew examples of project management at work in the 21st centuryEric Verzuh (Seattle, WA) is certified by the Project Management Institute and is President of The Versatile Company, which delivers project management training and consulting services to such companies as Adobe Systems, Inc., GE, Lockheed Martin, Nordstrom, and the United States Postal Service. He is also the author of The Portable MBA in Project Management (0-471-26899-2), from Wiley.

Thinking: The New Science of Decision-Making, Problem-Solving, and Prediction


John Brockman - 2013
    Dennett on decoding the architecture of the "normal" human mindSarah-Jayne Blakemore on mental disorders and the crucial developmental phase of adolescenceJonathan Haidt, Sam Harris, and Roy Baumeister on the science of morality, ethics, and the emerging synthesis of evolutionary and biological thinkingGerd Gigerenzer on rationality and what informs our choices

Super Thinking: The Big Book of Mental Models


Gabriel Weinberg - 2019
    If the facts don't hang together on a latticework of theory, you don't have them in a usable form. You've got to have models in your head."- Charlie Munger, investor, vice chairman of Berkshire HathawayThe world's greatest problem-solvers, forecasters, and decision-makers all rely on a set of frameworks and shortcuts that help them cut through complexity and separate good ideas from bad ones. They're called mental models, and you can find them in dense textbooks on psychology, physics, economics, and more.Or, you can just read Super Thinking, a fun, illustrated guide to every mental model you could possibly need. How can mental models help you? Well, here are just a few examples... • If you've ever been overwhelmed by a to-do list that's grown too long, maybe you need the Eisenhower Decision Matrix to help you prioritize. • Use the 5 Whys model to better understand people's motivations or get to the root cause of a problem. • Before concluding that your colleague who messes up your projects is out to sabotage you, consider Hanlon's Razor for an alternative explanation. • Ever sat through a bad movie just because you paid a lot for the ticket? You might be falling prey to Sunk Cost Fallacy. • Set up Forcing Functions, like standing meeting or deadlines, to help grease the wheels for changes you want to occur.So, the next time you find yourself faced with a difficult decision or just trying to understand a complex situation, let Super Thinking upgrade your brain with mental models.Note: in the US the subtitle is The Big Book of Mental Models and outside it is Upgrade Your Reasoning and Make Better Decisions with Mental Models.

Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists


Philipp K. Janert - 2010
    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

Automate This: How Algorithms Came to Rule Our World


Christopher Steiner - 2012
    It used to be that to diagnose an illness, interpret legal documents, analyze foreign policy, or write a newspaper article you needed a human being with specific skills—and maybe an advanced degree or two. These days, high-level tasks are increasingly being handled by algorithms that can do precise work not only with speed but also with nuance. These “bots” started with human programming and logic, but now their reach extends beyond what their creators ever expected. In this fascinating, frightening book, Christopher Steiner tells the story of how algorithms took over—and shows why the “bot revolution” is about to spill into every aspect of our lives, often silently, without our knowledge. The May 2010 “Flash Crash” exposed Wall Street’s reliance on trading bots to the tune of a 998-point market drop and $1 trillion in vanished market value. But that was just the beginning. In Automate This, we meet bots that are driving cars, penning haiku, and writing music mistaken for Bach’s. They listen in on our customer service calls and figure out what Iran would do in the event of a nuclear standoff. There are algorithms that can pick out the most cohesive crew of astronauts for a space mission or identify the next Jeremy Lin. Some can even ingest statistics from baseball games and spit out pitch-perfect sports journalism indistinguishable from that produced by humans. The interaction of man and machine can make our lives easier. But what will the world look like when algorithms control our hospitals, our roads, our culture, and our national security? What hap­pens to businesses when we automate judgment and eliminate human instinct? And what role will be left for doctors, lawyers, writers, truck drivers, and many others?  Who knows—maybe there’s a bot learning to do your job this minute.

Beautiful Data: The Stories Behind Elegant Data Solutions (Theory In Practice, #31)


Toby Segaran - 2009
    Join 39 contributors as they explain how they developed simple and elegant solutions on projects ranging from the Mars lander to a Radiohead video.With Beautiful Data, you will: Explore the opportunities and challenges involved in working with the vast number of datasets made available by the Web Learn how to visualize trends in urban crime, using maps and data mashups Discover the challenges of designing a data processing system that works within the constraints of space travel Learn how crowdsourcing and transparency have combined to advance the state of drug research Understand how new data can automatically trigger alerts when it matches or overlaps pre-existing data Learn about the massive infrastructure required to create, capture, and process DNA data That's only small sample of what you'll find in Beautiful Data. For anyone who handles data, this is a truly fascinating book. Contributors include:Nathan Yau Jonathan Follett and Matt Holm J.M. Hughes Raghu Ramakrishnan, Brian Cooper, and Utkarsh Srivastava Jeff Hammerbacher Jason Dykes and Jo Wood Jeff Jonas and Lisa Sokol Jud Valeski Alon Halevy and Jayant Madhavan Aaron Koblin with Valdean Klump Michal Migurski Jeff Heer Coco Krumme Peter Norvig Matt Wood and Ben Blackburne Jean-Claude Bradley, Rajarshi Guha, Andrew Lang, Pierre Lindenbaum, Cameron Neylon, Antony Williams, and Egon Willighagen Lukas Biewald and Brendan O'Connor Hadley Wickham, Deborah Swayne, and David Poole Andrew Gelman, Jonathan P. Kastellec, and Yair Ghitza Toby Segaran