The book Lifehack calls "The Bible of business and personal productivity." "A completely revised and updated edition of the blockbuster bestseller from 'the personal productivity guru'"—Fast Company Since it was first published almost fifteen years ago, David Allen’s Getting Things Done has become one of the most influential business books of its era, and the ultimate book on personal organization. “GTD” is now shorthand for an entire way of approaching professional and personal tasks, and has spawned an entire culture of websites, organizational tools, seminars, and offshoots. Allen has rewritten the book from start to finish, tweaking his classic text with important perspectives on the new workplace, and adding material that will make the book fresh and relevant for years to come. This new edition of Getting Things Done will be welcomed not only by its hundreds of thousands of existing fans but also by a whole new generation eager to adopt its proven principles.

A comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.

Also includes 1st-5th SLA triennial salary surveys.

Do you need a one-volume lesson about business applications of the Internet and other computer-based hardware and software? This book provides comprehensive coverage of four major areas: The Internet and Data Communications Basics, Popular Types of Networks, Design, Implementation, and Management Issues in a Network Environment, and Data Communication and Internet Applications. The Handbook of Business Data Communications looks briefly at the major corporations working in each category. In addition to practical examples, short case studies, and summaries of emerging issues in data communications, Professor Bidgoli discusses personal, social, organizational, and legal issues surrounding the use of networks and business software. Easy to use, balanced, and up-to-date, the Handbook has both answers and insights into future trends in business data communications. Key Features * An industry profile begins each chapter, providing readers with ways to learn more about the products they use * Numerous case studies of businesses throughout the book highlight applications topics * Includes balanced presentations of current and emerging technologies as well as useful discussions of security issues and measures * Presents thorough examinations of the Internet and intranets/extranets * Social, organizational, and legal materials provide context for data communications information * Summaries and review questions reinforce the aims of each chapter

Use machine learning to understand your customers, frame decisions, and drive value The business analytics world has changed, and Data Scientists are taking over. Business Data Science takes you through the steps of using machine learning to implement best-in-class business data science. Whether you are a business leader with a desire to go deep on data, or an engineer who wants to learn how to apply Machine Learning to business problems, you’ll find the information, insight, and tools you need to flourish in today’s data-driven economy. You’ll learn how to: Use the key building blocks of Machine Learning: sparse regularization, out-of-sample validation, and latent factor and topic modeling Understand how use ML tools in real world business problems, where causation matters more that correlation Solve data science programs by scripting in the R programming language Today’s business landscape is driven by data and constantly shifting. Companies live and die on their ability to make and implement the right decisions quickly and effectively. Business Data Science is about doing data science right. It’s about the exciting things being done around Big Data to run a flourishing business. It’s about the precepts, principals, and best practices that you need know for best-in-class business data science.