This rapidly expanding field now offers a wide spectrum of jobs, all of which are explored in this text.

Provides a history of the field, discusses jobs in business systems, jobs with vendors, and jobs in scientific applications, and advises on education and job-seeking.

Presents copy for use as a reference brochure and a giveaway sheet to be distributed to guidance counselors to help them direct young people into the growing field of Information Science. Sets forth that Information Science is concerned with the properties, behavior, and flow of information. Describes how it is used, both by individuals and in large systems. Discusses the opportunities in Information Science and outlines three relatively different career areas: (1) Special Librarianship; (2) Literature Analysis; and (3) Information System Design. Details an educational program appropriate for participation in these career areas. Concludes that Information Science is a new but rapidly growing field pushing the frontiers of human knowledge and, thus, contributing to human well-being and progress. (Author).

"In this definitive guide to the ever-changing modern workplace, Kathryn Minshew and Alexandra Cavoulacos, the co-founders of popular career website TheMuse.com, show how to play the game by the New Rules. The Muse is known for sharp, relevant, and get-to-the-point advice on how to figure out exactly what your values and your skills are and how they best play out in the marketplace. Now Kathryn and Alex have gathered all of that advice and more in The New Rules of Work. Through quick exercises and structured tips, the authors will guide you as you sort through your countless options; communicate who you are and why you are valuable; and stand out from the crowd. The New Rules of Work shows how to choose a perfect career path, land the best job, and wake up feeling excited to go to work every day-- whether you are starting out in your career, looking to move ahead, navigating a mid-career shift, or anywhere in between"--

Networking, negotiating, communicating, leading, career planning--all skills critical to your career success. But did anyone ever teach you these skills? The Career Toolkit will help you master these vital skills and yield outsized returns for your career and your income. Every chapter is packed with dozens of actionable principles, exercises, and practices that will accelerate your success. It's a multivitamin for your career! The Career Toolkit shows you how to design and execute your personal plan to achieve the career you deserve, including: Negotiating a job offer. (This alone will pay for the book.) Creating a dynamic career strategy. Building a high-value network. Developing the fundamental leadership skills that matter most. Managing teams effectively, even as an individual contributor.

Summary You are going to need more than technical knowledge to succeed as a data scientist. Build a Career in Data Science teaches you what school leaves out, from how to land your first job to the lifecycle of a data science project, and even how to become a manager. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology What are the keys to a data scientist’s long-term success? Blending your technical know-how with the right “soft skills” turns out to be a central ingredient of a rewarding career. About the book Build a Career in Data Science is your guide to landing your first data science job and developing into a valued senior employee. By following clear and simple instructions, you’ll learn to craft an amazing resume and ace your interviews. In this demanding, rapidly changing field, it can be challenging to keep projects on track, adapt to company needs, and manage tricky stakeholders. You’ll love the insights on how to handle expectations, deal with failures, and plan your career path in the stories from seasoned data scientists included in the book. What's inside Creating a portfolio of data science projects Assessing and negotiating an offer Leaving gracefully and moving up the ladder Interviews with professional data scientists About the reader For readers who want to begin or advance a data science career. About the author Emily Robinson is a data scientist at Warby Parker. Jacqueline Nolis is a data science consultant and mentor. Table of Contents: PART 1 - GETTING STARTED WITH DATA SCIENCE 1. What is data science? 2. Data science companies 3. Getting the skills 4. Building a portfolio PART 2 - FINDING YOUR DATA SCIENCE JOB 5. The search: Identifying the right job for you 6. The application: Résumés and cover letters 7. The interview: What to expect and how to handle it 8. The offer: Knowing what to accept PART 3 - SETTLING INTO DATA SCIENCE 9. The first months on the job 10. Making an effective analysis 11. Deploying a model into production 12. Working with stakeholders PART 4 - GROWING IN YOUR DATA SCIENCE ROLE 13. When your data science project fails 14. Joining the data science community 15. Leaving your job gracefully 16. Moving up the ladder

The economic boom of the 1990s veiled a grim reality: in addition to the growing gap between rich and poor, the gap between good and bad quality jobs was also expanding. The postwar prosperity of the mid-twentieth century had enabled millions of American workers to join the middle class, but as author Arne L. Kalleberg shows, by the 1970s this upward movement had slowed, in part due to the steady disappearance of secure, well-paying industrial jobs. Ever since, precarious employment has been on the rise—paying low wages, offering few benefits, and with virtually no long-term security. Today, the polarization between workers with higher skill levels and those with low skills and low wages is more entrenched than ever. Good Jobs, Bad Jobs traces this trend to large-scale transformations in the American labor market and the changing demographics of low-wage workers. Kalleberg draws on nearly four decades of survey data, as well as his own research, to evaluate trends in U.S. job quality and suggest ways to improve American labor market practices and social policies. Good Jobs, Bad Jobs provides an insightful analysis of how and why precarious employment is gaining ground in the labor market and the role these developments have played in the decline of the middle class. Kalleberg shows that by the 1970s, government deregulation, global competition, and the rise of the service sector gained traction, while institutional protections for workers—such as unions and minimum-wage legislation—weakened. Together, these forces marked the end of postwar security for American workers. The composition of the labor force also changed significantly; the number of dual-earner families increased, as did the share of the workforce comprised of women, non-white, and immigrant workers. Of these groups, blacks, Latinos, and immigrants remain concentrated in the most precarious and low-quality jobs, with educational attainment being the leading indicator of who will earn the highest wages and experience the most job security and highest levels of autonomy and control over their jobs and schedules. Kalleberg demonstrates, however, that building a better safety net—increasing government responsibility for worker health care and retirement, as well as strengthening unions—can go a long way toward redressing the effects of today’s volatile labor market. There is every reason to expect that the growth of precarious jobs—which already make up a significant share of the American job market—will continue. Good Jobs, Bad Jobs deftly shows that the decline in U.S. job quality is not the result of fluctuations in the business cycle, but rather the result of economic restructuring and the disappearance of institutional protections for workers. Only government, employers and labor working together on long-term strategies—including an expanded safety net, strengthened legal protections, and better training opportunities—can help reverse this trend. A Volume in the American Sociological Association’s Rose Series in Sociology.

Computers and Data Processing provides information pertinent to the advances in the computer field. This book covers a variety of topics, including the computer hardware, computer programs or software, and computer applications systems. Organized into five parts encompassing 19 chapters, this book begins with an overview of some of the fundamental computing concepts. This text then explores the evolution of modern computing systems from the earliest mechanical calculating devices to microchips. Other chapters consider how computers present their results and explain the storage and retrieval of massive amounts of computer-accessible information from secondary storage devices. This book discusses as well the development installation, evaluation, and control of computer systems. The final chapter discusses the use of computers in the transportation systems and the ways in which they make possible other innovations in transportation. This book is a valuable resource for computer scientists, systems analysts, computer programmers, mathematicians, and computer specialists.