From the creator of the popular website Ask a Manager and New York’s work-advice columnist comes a witty, practical guide to 200 difficult professional conversations—featuring all-new advice! There’s a reason Alison Green has been called “the Dear Abby of the work world.” Ten years as a workplace-advice columnist have taught her that people avoid awkward conversations in the office because they simply don’t know what to say. Thankfully, Green does—and in this incredibly helpful book, she tackles the tough discussions you may need to have during your career. You’ll learn what to say when • coworkers push their work on you—then take credit for it • you accidentally trash-talk someone in an email then hit “reply all” • you’re being micromanaged—or not being managed at all • you catch a colleague in a lie • your boss seems unhappy with your work • your cubemate’s loud speakerphone is making you homicidal • you got drunk at the holiday party Praise for Ask a Manager “A must-read for anyone who works . . . [Alison Green’s] advice boils down to the idea that you should be professional (even when others are not) and that communicating in a straightforward manner with candor and kindness will get you far, no matter where you work.”—Booklist (starred review) “The author’s friendly, warm, no-nonsense writing is a pleasure to read, and her advice can be widely applied to relationships in all areas of readers’ lives. Ideal for anyone new to the job market or new to management, or anyone hoping to improve their work experience.”—Library Journal (starred review) “I am a huge fan of Alison Green’s Ask a Manager column. This book is even better. It teaches us how to deal with many of the most vexing big and little problems in our workplaces—and to do so with grace, confidence, and a sense of humor.”—Robert Sutton, Stanford professor and author of The No Asshole Rule and The Asshole Survival Guide “Ask a Manager is the ultimate playbook for navigating the traditional workforce in a diplomatic but firm way.”—Erin Lowry, author of Broke Millennial: Stop Scraping By and Get Your Financial Life Together
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From David Graeber, the bestselling author of The Dawn of Everything and Debt—“a master of opening up thought and stimulating debate” (Slate)—a powerful argument against the rise of meaningless, unfulfilling jobs…and their consequences. Does your job make a meaningful contribution to the world? In the spring of 2013, David Graeber asked this question in a playful, provocative essay titled “On the Phenomenon of Bullshit Jobs.” It went viral. After one million online views in seventeen different languages, people all over the world are still debating the answer. There are hordes of people—HR consultants, communication coordinators, telemarketing researchers, corporate lawyers—whose jobs are useless, and, tragically, they know it. These people are caught in bullshit jobs. Graeber explores one of society’s most vexing and deeply felt concerns, indicting among other villains a particular strain of finance capitalism that betrays ideals shared by thinkers ranging from Keynes to Lincoln. “Clever and charismatic” (The New Yorker), Bullshit Jobs gives individuals, corporations, and societies permission to undergo a shift in values, placing creative and caring work at the center of our culture. This book is for everyone who wants to turn their vocation back into an avocation and “a thought-provoking examination of our working lives” (Financial Times).
“This book is fast, furious, compelling, and angry as hell." -- Seanan McGuire, New York Times bestselling author The Boys meets My Year of Rest and Relaxation in this smart, imaginative, and evocative novel of love, betrayal, revenge, and redemption, told with razor-sharp wit and affection, in which a young woman discovers the greatest superpower—for good or ill—is a properly executed spreadsheet. Anna does boring things for terrible people because even criminals need office help and she needs a job. Working for a monster lurking beneath the surface of the world isn’t glamorous. But is it really worse than working for an oil conglomerate or an insurance company? In this economy? As a temp, she’s just a cog in the machine. But when she finally gets a promising assignment, everything goes very wrong, and an encounter with the so-called “hero” leaves her badly injured. And, to her horror, compared to the other bodies strewn about, she’s the lucky one. So, of course, then she gets laid off. With no money and no mobility, with only her anger and internet research acumen, she discovers her suffering at the hands of a hero is far from unique. When people start listening to the story that her data tells, she realizes she might not be as powerless as she thinks. Because the key to everything is data: knowing how to collate it, how to manipulate it, and how to weaponize it. By tallying up the human cost these caped forces of nature wreak upon the world, she discovers that the line between good and evil is mostly marketing. And with social media and viral videos, she can control that appearance. It’s not too long before she’s employed once more, this time by one of the worst villains on earth. As she becomes an increasingly valuable lieutenant, she might just save the world. A sharp, witty, modern debut, Hench explores the individual cost of justice through a fascinating mix of Millennial office politics, heroism measured through data science, body horror, and a profound misunderstanding of quantum mechanics.
Data Science gets thrown around in the press like it'smagic. Major retailers are predicting everything from when theircustomers are pregnant to when they want a new pair of ChuckTaylors. It's a brave new world where seemingly meaningless datacan be transformed into valuable insight to drive smart businessdecisions. But how does one exactly do data science? Do you have to hireone of these priests of the dark arts, the "data scientist," toextract this gold from your data? Nope. Data science is little more than using straight-forward steps toprocess raw data into actionable insight. And in DataSmart, author and data scientist John Foreman will show you howthat's done within the familiar environment of aspreadsheet. Why a spreadsheet? It's comfortable! You get to look at the dataevery step of the way, building confidence as you learn the tricksof the trade. Plus, spreadsheets are a vendor-neutral place tolearn data science without the hype. But don't let the Excel sheets fool you. This is a book forthose serious about learning the analytic techniques, the math andthe magic, behind big data. Each chapter will cover a different technique in aspreadsheet so you can follow along: Mathematical optimization, including non-linear programming andgenetic algorithms Clustering via k-means, spherical k-means, and graphmodularity Data mining in graphs, such as outlier detection Supervised AI through logistic regression, ensemble models, andbag-of-words models Forecasting, seasonal adjustments, and prediction intervalsthrough monte carlo simulation Moving from spreadsheets into the R programming language You get your hands dirty as you work alongside John through eachtechnique. But never fear, the topics are readily applicable andthe author laces humor throughout. You'll even learnwhat a dead squirrel has to do with optimization modeling, whichyou no doubt are dying to know.
Hailed as "the best business book of 2010" (Huffington Post), this New York Times bestseller about the 2008 financial crisis brings the devastation of the Great Recession to life. As soon as the financial crisis erupted, the finger-pointing began. Should the blame fall on Wall Street, Main Street, or Pennsylvania Avenue? On greedy traders, misguided regulators, sleazy subprime companies, cowardly legislators, or clueless home buyers? According to Bethany McLean and Joe Nocera, two of America's most acclaimed business journalists, many devils helped bring hell to the economy. All the Devils Are Here goes back several decades to weave the hidden history of the financial crisis in a way no previous book has done. It explores the motivations of everyone from famous CEOs, cabinet secretaries, and politicians to anonymous lenders, borrowers, analysts, and Wall Street traders. It delves into the powerful American mythology of homeownership. And it proves that the crisis ultimately wasn't about finance at all; it was about human nature. Just as McLean's The Smartest Guys in the Room was hailed as the best Enron book on a crowded shelf, so will All the Devils Are Here be remembered for finally making sense of the financial meltdown and its consequences.
The 10th anniversary edition, now with a new preface by the author "A wonderfully smart, lively, and culturally astute survey." - The New York Times Book Review "Grand entertainment...fascinating for anyone curious about the perplexing miracles of how great television comes to be." - The Wall Street Journal "I love this book...It's the kind of thing I wish I'd been able to read in film school, back before such books existed." - Vince Gilligan, creator of Breaking Bad and co-creator of Better Call Saul In the late 1990s and early 2000s, the landscape of television began an unprecedented transformation. While the networks continued to chase the lowest common denominator, a wave of new shows on cable channels dramatically stretched television’s narrative inventiveness, emotional resonance, and creative ambition. Combining deep reportage with critical analysis and historical context, Brett Martin recounts the rise and inner workings of this artistic watershed - a golden age of TV that continues to transform America's cultural landscape. Difficult Men features extensive interviews with all the major players - including David Chase (The Sopranos), David Simon and Ed Burns (The Wire), David Milch (NYPD Blue, Deadwood), Alan Ball (Six Feet Under), and Vince Gilligan (Breaking Bad, Better Call Saul) - and reveals how television became a truly significant and influential part of our culture.
Now that people are aware that data can make the difference in an election or a business model, data science as an occupation is gaining ground. But how can you get started working in a wide-ranging, interdisciplinary field that’s so clouded in hype? This insightful book, based on Columbia University’s Introduction to Data Science class, tells you what you need to know. In many of these chapter-long lectures, data scientists from companies such as Google, Microsoft, and eBay share new algorithms, methods, and models by presenting case studies and the code they use. If you’re familiar with linear algebra, probability, and statistics, and have programming experience, this book is an ideal introduction to data science. Topics include: Statistical inference, exploratory data analysis, and the data science process Algorithms Spam filters, Naive Bayes, and data wrangling Logistic regression Financial modeling Recommendation engines and causality Data visualization Social networks and data journalism Data engineering, MapReduce, Pregel, and Hadoop Doing Data Science is collaboration between course instructor Rachel Schutt, Senior VP of Data Science at News Corp, and data science consultant Cathy O’Neil, a senior data scientist at Johnson Research Labs, who attended and blogged about the course.