This guide also helps you understand the many data-mining techniques in use today.Based on an MBA course Provost has taught at New York University over the past ten years, Data Science for Business provides examples of real-world business problems to illustrate these principles. You’ll not only learn how to improve communication between business stakeholders and data scientists, but also how participate intelligently in your company’s data science projects. You’ll also discover how to think data-analytically, and fully appreciate how data science methods can support business decision-making.Understand how data science fits in your organization—and how you can use it for competitive advantageTreat data as a business asset that requires careful investment if you’re to gain real valueApproach business problems data-analytically, using the data-mining process to gather good data in the most appropriate wayLearn general concepts for actually extracting knowledge from dataApply data science principles when interviewing data science job candidates

    The cases, content, and features of the exciting new ninth edition have been thoroughly updated to represent the latest developments in the business law environment. An excellent assortment of cases ranges from precedent-setting landmarks to important recent decisions, and ethical, global, and corporate themes are integrated throughout. In addition, numerous features and exercises help you master key concepts and apply what you've learned to real-world issues, and the book offers an unmatched range of support resources, including innovative online review tools.

    

    What's new in the Second Edition? 1. Fully compliant with the latest version of SPSS version 12 2. More coverage of advanced statistics including completely new coverage of non-parametric statistics. The book is 50 per cent longer than the First Edition. 3. Each section of each chapter now has a notation - 1,2 or 3 - referring to the intended level of study. This helps students navigate their way through the book and makes it user-friendly for students of ALL levels. 4. Has a 'how to use this book' section at the start of the text. 5. Characters in each chapter have defined roles - summarizing key points, to pose questions etc 6. Each chapter now has several examples for students to work through. Answers provided on the enclosed CD-ROM

    ―Jacob Boudreau CTO of Stord | Forbes 30 Under 30 Joel's book and show provide incredible insights for young startup developers and fellow CTOs alike. Joel offers a human perspective and real practical advice on the challenges and opportunities facing every Modern CTO. ― Christian Saucier | Entrepreneur and P2P Systems Architect I've really come to respect what Joel is doing in the community. His podcast and book are filling a much needed hole and I'm excited to see what else the future has in store. ― Don Pawlowski Chief Technology Officer at University Tees Modern CTO Everything you need to know to be a Modern CTO. Developers are not CTOs, but developers can learn how to be CTOs. In Modern CTO, Joel Beasley provides readers with an in-depth road map on how to successfully navigate the unexplored and jagged transition between these two roles. Drawing from personal experience, Joel gives a refreshing take on the challenges, lessons, and things to avoid on this journey.Readers will learn how Modern CTOs: Manage deadlines Speak up Know when to abandon ship and build a better one Deal with poor code Avoid getting lost in the product and know what UX mistakes to watch out for Manage people and create momentum … plus much more Modern CTO is the ultimate book when making the leap from developer to CTO. Update: Kindle Formatting issues resolved 5/13/18. Thank you for the feedback.

    Because the computer gathers knowledge from experience, there is no need for a human computer operator to formally specify all the knowledge that the computer needs. The hierarchy of concepts allows the computer to learn complicated concepts by building them out of simpler ones; a graph of these hierarchies would be many layers deep. This book introduces a broad range of topics in deep learning.The text offers mathematical and conceptual background, covering relevant concepts in linear algebra, probability theory and information theory, numerical computation, and machine learning. It describes deep learning techniques used by practitioners in industry, including deep feedforward networks, regularization, optimization algorithms, convolutional networks, sequence modeling, and practical methodology; and it surveys such applications as natural language processing, speech recognition, computer vision, online recommendation systems, bioinformatics, and videogames. Finally, the book offers research perspectives, covering such theoretical topics as linear factor models, autoencoders, representation learning, structured probabilistic models, Monte Carlo methods, the partition function, approximate inference, and deep generative models.Deep Learning can be used by undergraduate or graduate students planning careers in either industry or research, and by software engineers who want to begin using deep learning in their products or platforms. A website offers supplementary material for both readers and instructors.

    It is also a practical, modern introduction to scientific computing in Python, tailored for data-intensive applications. This is a book about the parts of the Python language and libraries you'll need to effectively solve a broad set of data analysis problems. This book is not an exposition on analytical methods using Python as the implementation language.Written by Wes McKinney, the main author of the pandas library, this hands-on book is packed with practical cases studies. It's ideal for analysts new to Python and for Python programmers new to scientific computing.Use the IPython interactive shell as your primary development environmentLearn basic and advanced NumPy (Numerical Python) featuresGet started with data analysis tools in the pandas libraryUse high-performance tools to load, clean, transform, merge, and reshape dataCreate scatter plots and static or interactive visualizations with matplotlibApply the pandas groupby facility to slice, dice, and summarize datasetsMeasure data by points in time, whether it's specific instances, fixed periods, or intervalsLearn how to solve problems in web analytics, social sciences, finance, and economics, through detailed examples

    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

    It’s easy and fun with this practical, hands-on introduction. Author Scott Murray teaches you the fundamental concepts and methods of D3, a JavaScript library that lets you express data visually in a web browser. Along the way, you’ll expand your web programming skills, using tools such as HTML and JavaScript.This step-by-step guide is ideal whether you’re a designer or visual artist with no programming experience, a reporter exploring the new frontier of data journalism, or anyone who wants to visualize and share data.Learn HTML, CSS, JavaScript, and SVG basicsDynamically generate web page elements from your data—and choose visual encoding rules to style themCreate bar charts, scatter plots, pie charts, stacked bar charts, and force-directed layoutsUse smooth, animated transitions to show changes in your dataIntroduce interactivity to help users explore data through different viewsCreate customized geographic maps with dataExplore hands-on with downloadable code and over 100 examples

    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

    This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You’ll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you’ve learned along the way. You’ll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results

     (NOTE: Dozens of renowned marketing, SEO and social media experts have endorsed this SEO book. You can read these expert testimonials and claim the free bonus offers that come with this book at SEOforGrowth.com) SEO is a key growth channel for your business, but the rules of SEO have changed dramatically in recent years. To grow your business in today’s economy, you need a strong online presence. But what does that entail exactly? Marketing is no longer about mass-market advertising and outbound sales; it’s about capturing demand — grabbing the attention of people already looking to make a purchase or acquire specific knowledge. To do that, your website needs to be at the top of Internet search results. Many businesses and marketers toss up a brochure-style website, do a little social media and blog posting (if any), and think they’re "doing SEO" — but that’s not what it takes to get those coveted first page Google rankings. No longer just another tactic, search engine optimization has become a full-blown channel on par with PR and advertising — one you can’t afford to ignore. From website designers to business owners, marketers to entrepreneurs, everyone can benefit from understanding and applying SEO best practices. John Jantsch, author of the best-selling Duct Tape Marketing and creator of the Duct Tape Marketing System™, and Phil Singleton, an experienced SEO consultant with years of experience at the local, regional, and national levels, have teamed up to provide you with the only Internet marketing guide you need. In SEO for Growth, they teach you how to leverage the new rules of search engine optimization to make sure your website gets found online. Jantsch and Singleton harness the knowledge they’ve acquired through years of experience and extensive research, explaining SEO in a direct and accessible manner, to help you navigate this complex technical terrain with purpose and ease. SEO for Growth is Your One-Stop Digital Marketing Guide The first part of the book provides an overview of search engines, ranking algorithms, and website design changes, so you can understand the way that Google “thinks.” The book then takes you through the mindset and strategy you need to get SEO right and provides specific techniques that you can use at each stage of a new business: from finding the perfect match between the ideal customer and the market message (traction), to retaining customers and building relationships for growth (expansion); and leveraging the assets you build for payoff (conversion). From this book, you’ll learn how to: • create and re-purpose content and plan an editorial calendar • use different social media channels to generate engagement with your content • build and manage your online reputation, plus handle negative reviews • do quality link building without resorting to the shady practices Google now penalizes • conduct keyword research to optimize your website and all of your content • use pay-per-click advertising in the most cost-efficient way to get the biggest bang for your buck • build a revenue generating website that will help power your company’s growth for years to come Whether you want to adapt your small business to the digital age or you’re a marketer figuring out how to help your clients online, this indispensable guide has everything you need to plan and implement the right SEO strategy for your business.

    Ware's updated review of empirical research and interface design examples will do much to accelerate innovation and adoption of information visualization." —Ben Shneiderman, University of Maryland"Colin Ware is the perfect person to write this book, with a long history of prominent contributions to the visual interaction with machines and to information visualization directly. It goes a long way towards joining science to the practical design of information visualization systems." —from the foreword by Stuart Card, PARCMost designers know that yellow text presented against a blue background reads clearly and easily, but how many can explain why, and what really are the best ways to help others and ourselves clearly see key patterns in a bunch of data? When we use software, access a web site, or view graphics, our understanding is greatly enhanced or impeded by the way information is presented. By explaining in detail how we think visually, this book provides guidance on how to construct effective interactive information displays.This book combines a strictly scientific approach to human perception with a practical concern for the rules governing the effective visual presentation of information. Surveying the research of leading psychologists and neurophysiologists, author Colin Ware isolates key principles at work in vision and perception, and from them derives specific and effective visualization techniques suitable for a wide range of scenarios. Information Visualization offers practical guidelines that can be applied by anyone, and covers all facets of visual perception: color, organization, space perception, motion, and texture.* Major revision of this classic work, with a new chapter on visual thinking, new sections on face perception and flow visualization, an appendix on how to evaluate visualizations,and a greatly expanded chapter on color and color sequences. *New to this edition is the full-color treatment throughout, to better display over 400 illustrations.*From a leading researcher in the field of human perception who has brought together, in a single resource, all current scientific insight into the question of data visualization.

    Brick-and-mortar has shifted to online, while online is shifting into pop-up storefronts. Virtual stores in subway platforms and airports are offering new levels of convenience for harried commuters. High Street and Main Street are becoming the stuff of nostalgia. The Big Box is losing ground to new models that attract consumers through their most-trusted assistant--the smartphone. What's next? What's the future for you--a retailer--who is witnessing a tsunami of change and not knowing if this means grasping ahold of new opportunity or being swept away?The Retail Revival answers these questions by looking into the not-so-distant retail past and by looking forward into a future that will continue to redefine retail and its enormous effect on society and our economies. Massive demographic and economic shifts, as well as historic levels of technological and media disruption, are turning this once predictable industry--where "average" was king--into a sea of turbulent change, leaving consumer behavior permanently altered. Doug Stephens, internationally renowned consumer futurist, examines the key seismic shifts in the market that have even companies like Walmart and Procter & Gamble scrambling to cope, and explores the current and future trends that will completely change the way we shop.The Retail Revival provides no-nonsense clarity on the realities of a completely new retail marketplace-- realities that are driving many industry executives to despair. But the future need not be dark. Stephens offers hope and guidance for any businesses eager to capitalize on these historic shifts and thrive.Entertaining and thought-provoking, The Retail Revival makes sense of a brave new era of consumer behavior in which everything we thought we knew about retail is being completely reimagined.Praise for The Retail Revival"It doesn't matter what type of retail you do--if you sell something, somewhere, you need to read Doug Stephens' The Retail Revival. Packed with powerful insights on the changing retail environment and what good retailers should be thinking about now, The Retail Revival is easy to read, well-organized and provides essential food for thought." -- Gregg Saretsky, President and CEO, WestJet"This book captures in sharp detail the deep and unprecedented changes driving new consumer behaviors and values. More importantly, it offers clear guidance to brands and retailers seeking to adapt and evolve to meet entirely new market imperatives for success." --John Gerzema, Author of Spend Shift and The Athena Doctrine"The Retail Revival is a critical read for all marketing professionals who are trying to figure out what's next in retail... Doug Stephens does a great job of explaining why retail has evolved the way it has, and the book serves as an important, trusted guide to where it's headed next. " --Joe Lampertius SVP, Shopper Marketing, Momentum Worldwide and Owner, La Spezia Flavor Market"Doug Stephens has proven his right to the moniker 'Retail Prophet.' With careful analysis and ample examples, the author makes a compelling case for retailers to adapt, change and consequently revive their connection with consumers. Stephens presents actionable recommendations with optimism and enthusiasm--just the spoonful of sugar we need to face the necessary changes ahead." --Kit Yarrow, Ph.D., Consumer Psychologist; Professor, Golden Gate University; Co-Author, Gen BuY: How Tweens, Teens and Twenty-Somethings are Revolutionizing Retail"Doug Stephens doesn't just tell you why retail is in the doldrums, he tells you why retail is a major signpost for the larger troubles of our culture and provides a compelling, inspiring vision for a future of retail--and business, and society." --Eric Garland, author of Future Inc.: How Businesses Can Anticipate and Profit from What's Next

    This book provides up-to-date information on how good project, program, and portfolio management can help you achieve organizational success. It includes over 50 samples of tools and techniques applied to one large project, and is suitable for all majors, including business, engineering, healthcare, and more.