The Hard Thing About Hard Things: Building a Business When There Are No Easy Answers


Ben Horowitz - 2014
    His blog has garnered a devoted following of millions of readers who have come to rely on him to help them run their businesses. A lifelong rap fan, Horowitz amplifies business lessons with lyrics from his favorite songs and tells it straight about everything from firing friends to poaching competitors, from cultivating and sustaining a CEO mentality to knowing the right time to cash in.His advice is grounded in anecdotes from his own hard-earned rise—from cofounding the early cloud service provider Loudcloud to building the phenomenally successful Andreessen Horowitz venture capital firm, both with fellow tech superstar Marc Andreessen (inventor of Mosaic, the Internet's first popular Web browser). This is no polished victory lap; he analyzes issues with no easy answers through his trials, includingdemoting (or firing) a loyal friend;whether you should incorporate titles and promotions, and how to handle them;if it's OK to hire people from your friend's company;how to manage your own psychology, while the whole company is relying on you;what to do when smart people are bad employees;why Andreessen Horowitz prefers founder CEOs, and how to become one;whether you should sell your company, and how to do it.Filled with Horowitz's trademark humor and straight talk, and drawing from his personal and often humbling experiences, The Hard Thing About Hard Things is invaluable for veteran entrepreneurs as well as those aspiring to their own new ventures.

Cracking the PM Interview: How to Land a Product Manager Job in Technology


Gayle Laakmann McDowell - 2013
    Cracking the PM Interview is a comprehensive book about landing a product management role in a startup or bigger tech company. Learn how the ambiguously-named "PM" (product manager / program manager) role varies across companies, what experience you need, how to make your existing experience translate, what a great PM resume and cover letter look like, and finally, how to master the interview: estimation questions, behavioral questions, case questions, product questions, technical questions, and the super important "pitch."

Agile Product Management with Scrum: Creating Products That Customers Love


Roman Pichler - 2008
    He describes a broad range of agile product management practices, including making agile product discovery work, taking advantage of emergent requirements, creating the minimal marketable product, leveraging early customer feedback, and working closely with the development team. Benefitting from Pichler's extensive experience, you'll learn how Scrum product ownership differs from traditional product management and how to avoid and overcome the common challenges that Scrum product owners face. Coverage includesUnderstanding the product owner's role: what product owners do, how they do it, and the surprising implicationsEnvisioning the product: creating a compelling product vision to galvanize and guide the team and stakeholdersGrooming the product backlog: managing the product backlog effectively even for the most complex productsPlanning the release: bringing clarity to scheduling, budgeting, and functionality decisionsCollaborating in sprint meetings: understanding the product owner's role in sprint meetings, including the dos and don'tsTransitioning into product ownership: succeeding as a product owner and establishing the role in the enterprise This book is an indispensable resource for anyone who works as a product owner, or expects to do so, as well as executives and coaches interested in establishing agile product management.

A Guide to the Project Management Body of Knowledge (PMBOK® Guide)


Project Management Institute - 1995
    This internationally recognized standard provides the essential tools to practice project management and deliver organizational results.

Beautiful Visualization: Looking at Data through the Eyes of Experts


Julie Steele - 2010
    Think of the familiar map of the New York City subway system, or a diagram of the human brain. Successful visualizations are beautiful not only for their aesthetic design, but also for elegant layers of detail that efficiently generate insight and new understanding.This book examines the methods of two dozen visualization experts who approach their projects from a variety of perspectives -- as artists, designers, commentators, scientists, analysts, statisticians, and more. Together they demonstrate how visualization can help us make sense of the world.Explore the importance of storytelling with a simple visualization exerciseLearn how color conveys information that our brains recognize before we're fully aware of itDiscover how the books we buy and the people we associate with reveal clues to our deeper selvesRecognize a method to the madness of air travel with a visualization of civilian air trafficFind out how researchers investigate unknown phenomena, from initial sketches to published papers Contributors include:Nick Bilton, Michael E. Driscoll, Jonathan Feinberg, Danyel Fisher, Jessica Hagy, Gregor Hochmuth, Todd Holloway, Noah Iliinsky, Eddie Jabbour, Valdean Klump, Aaron Koblin, Robert Kosara, Valdis Krebs, JoAnn Kuchera-Morin et al., Andrew Odewahn, Adam Perer, Anders Persson, Maximilian Schich, Matthias Shapiro, Julie Steele, Moritz Stefaner, Jer Thorp, Fernanda Viegas, Martin Wattenberg, and Michael Young.

How to Have a Good Day: Harness the Power of Behavioral Science to Transform Your Working Life


Caroline Webb - 2016
      Advances in these behavioral sciences are giving us ever better understanding of how our brains work, why we make the choices we do, and what it takes for us to be at our best. But it has not always been easy to see how to apply these insights in the real world – until now.  In How to Have a Good Day, Webb explains exactly how to apply this science to our daily tasks and routines. She translates three big scientific ideas into step-by-step guidance that shows us how to set better priorities, make our time go further, ace every interaction, be our smartest selves, strengthen our personal impact, be resilient to setbacks, and boost our energy and enjoyment. Through it all, Webb teaches us how to navigate the typical challenges of modern workplaces—from conflict with colleagues to dull meetings and overflowing inboxes—with skill and ease.  Filled with stories of people who have used Webb’s insights to boost their job satisfaction and performance at work, How to Have a Good Day is the book so many people wanted when they finished Nudge, Blink and Thinking Fast and Slow and were looking for practical ways to apply this fascinating science to their own lives and careers.   A remarkable and much-needed book, How to Have a Good Day gives us the tools we need to have a lifetime of good days.From the Hardcover edition.

Machine That Changed the World: The Story of Lean Production


James P. Womack - 1990
    It then identifies and describes the advantages of this system, which needs less of everything including time, human effort, inventories, and investment to produce products with fewer defects in smaller volumes at lower costs for fragmenting markets. The Machine That Changed the World even gave the system its name: lean.In the decade since its launch in the fall of 1990, The Machine That Changed the World has sold more than 600,000 copies in 11 languages and has introduced a whole generation of managers and engineers to lean thinking. No lean library is complete without this groundbreaking book."The fundamentals of this system are applicable to every industry across the globea[and] will have a profound effect on human society. It will truly change the world." - New York TimesPaperback / 1990 / 323 pages

What Is Data Science?


Mike Loukides - 2011
    Five years ago, in What is Web 2.0, Tim O'Reilly said that "data is the next Intel Inside." But what does that statement mean? Why do we suddenly care about statistics and about data? This report examines the many sides of data science -- the technologies, the companies and the unique skill sets.The web is full of "data-driven apps." Almost any e-commerce application is a data-driven application. There's a database behind a web front end, and middleware that talks to a number of other databases and data services (credit card processing companies, banks, and so on). But merely using data isn't really what we mean by "data science." A data application acquires its value from the data itself, and creates more data as a result. It's not just an application with data; it's a data product. Data science enables the creation of data products.

Confident Data Skills: Master the Fundamentals of Working with Data and Supercharge Your Career


Kirill Eremenko - 2018
    From entertainment to politics, from technology to advertising and from science to the business world, understanding and using data is now one of the most transferable and transferable skills out there. Learning how to work with data may seem intimidating or difficult but with Confident Data Skills you will be able to master the fundamentals and supercharge your professional abilities. This essential book covers data mining, preparing data, analysing data, communicating data, financial modelling, visualizing insights and presenting data through film making and dynamic simulations.In-depth international case studies from a wide range of organizations, including Netflix, LinkedIn, Goodreads, Deep Blue, Alpha Go and Mike's Hard Lemonade Co. show successful data techniques in practice and inspire you to turn knowledge into innovation. Confident Data Skills also provides insightful guidance on how you can use data skills to enhance your employability and improve how your industry or company works through your data skills. Expert author and instructor, Kirill Eremenko, is committed to making the complex simple and inspiring you to have the confidence to develop an understanding, adeptness and love of data.

Life After Google: The Fall of Big Data and the Rise of the Blockchain Economy


George Gilder - 2018
    Gilder says or writes is ever delivered at anything less than the fullest philosophical decibel... Mr. Gilder sounds less like a tech guru than a poet, and his words tumble out in a romantic cascade." “Google’s algorithms assume the world’s future is nothing more than the next moment in a random process. George Gilder shows how deep this assumption goes, what motivates people to make it, and why it’s wrong: the future depends on human action.” — Peter Thiel, founder of PayPal and Palantir Technologies and author of Zero to One: Notes on Startups, or How to Build the Future The Age of Google, built on big data and machine intelligence, has been an awesome era. But it’s coming to an end. In Life after Google, George Gilder—the peerless visionary of technology and culture—explains why Silicon Valley is suffering a nervous breakdown and what to expect as the post-Google age dawns. Google’s astonishing ability to “search and sort” attracts the entire world to its search engine and countless other goodies—videos, maps, email, calendars….And everything it offers is free, or so it seems. Instead of paying directly, users submit to advertising. The system of “aggregate and advertise” works—for a while—if you control an empire of data centers, but a market without prices strangles entrepreneurship and turns the Internet into a wasteland of ads. The crisis is not just economic. Even as advances in artificial intelligence induce delusions of omnipotence and transcendence, Silicon Valley has pretty much given up on security. The Internet firewalls supposedly protecting all those passwords and personal information have proved hopelessly permeable. The crisis cannot be solved within the current computer and network architecture. The future lies with the “cryptocosm”—the new architecture of the blockchain and its derivatives. Enabling cryptocurrencies such as bitcoin and ether, NEO and Hashgraph, it will provide the Internet a secure global payments system, ending the aggregate-and-advertise Age of Google. Silicon Valley, long dominated by a few giants, faces a “great unbundling,” which will disperse computer power and commerce and transform the economy and the Internet. Life after Google is almost here.   For fans of "Wealth and Poverty," "Knowledge and Power," and "The Scandal of Money."

The Inmates Are Running the Asylum: Why High Tech Products Drive Us Crazy and How to Restore the Sanity


Alan Cooper - 1999
    Cooper details many of these meta functions to explain his central thesis: programmers need to seriously re-evaluate the many user-hostile concepts deeply embedded within the software development process. Rather than provide users with a straightforward set of options, programmers often pile on the bells and whistles and ignore or de-prioritise lingering bugs. For the average user, increased functionality is a great burden, adding to the recurrent chorus that plays: "computers are hard, mysterious, unwieldy things." (An average user, Cooper asserts, who doesn't think that way or who has memorised all the esoteric commands and now lords it over others, has simply been desensitised by too many years of badly designed software.) Cooper's writing style is often overblown, with a pantheon of cutesy terminology (i.e. "dancing bearware") and insider back-patting. (When presenting software to Bill Gates, he reports that Gates replied: "How did you do that?" to which he writes: "I love stumping Bill!") More seriously, he is also unable to see beyond software development's importance--a sin he accuses programmers of throughout the book. Even with that in mind, the central questions Cooper asks are too important to ignore: Are we making users happier? Are we improving the process by which they get work done? Are we making their work hours more effective? Cooper looks to programmers, business managers and what he calls "interaction designers" to question current assumptions and mindsets. Plainly, he asserts that the goal of computer usage should be "not to make anyone feel stupid." Our distance from that goal reinforces the need to rethink entrenched priorities in software planning. -- Jennifer Buckendorff, Amazon.com

Forecasting: Principles and Practice


Rob J. Hyndman - 2013
    Deciding whether to build another power generation plant in the next five years requires forecasts of future demand. Scheduling staff in a call centre next week requires forecasts of call volumes. Stocking an inventory requires forecasts of stock requirements. Telecommunication routing requires traffic forecasts a few minutes ahead. Whatever the circumstances or time horizons involved, forecasting is an important aid in effective and efficient planning. This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. Examples use R with many data sets taken from the authors' own consulting experience.

When: The Scientific Secrets of Perfect Timing


Daniel H. Pink - 2018
    But we don't know much about timing itself. Our lives are a never-ending stream of "when" decisions: when to start a business, schedule a class, get serious about a person. Yet we make those decisions based on intuition and guesswork.Timing, it's often assumed, is an art. In When: The Scientific Secrets of Perfect Timing, Pink shows that timing is really a science.Drawing on a rich trove of research from psychology, biology, and economics, Pink reveals how best to live, work, and succeed. How can we use the hidden patterns of the day to build the ideal schedule? Why do certain breaks dramatically improve student test scores? How can we turn a stumbling beginning into a fresh start? Why should we avoid going to the hospital in the afternoon? Why is singing in time with other people as good for you as exercise? And what is the ideal time to quit a job, switch careers, or get married?

The Minto Pyramid Principle: Logic in Writing, Thinking, & Problem Solving


Barbara Minto - 1987
    Topics covered range from the difference between deductive and inductive reasoning, to a discussion of how to highlight the structure of information.

Peopleware: Productive Projects and Teams


Tom DeMarco - 1987
    The answers aren't easy -- just incredibly successful.