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Like New condition. Great condition, but not exactly fully crisp. The book may have been opened and read, but there are no defects to the book, jacket or pages. 2.16

Book is in NEW condition. 2.16

Book is in NEW condition. 0.98

Book is in Used-Good condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain limited notes and highlighting. 0.98

· 200 Data Structures & Algorithms Interview Questions · 77 HR Interview Questions · Real life scenario based questions· Strategies to respond to interview questions· 2 Aptitude Tests Data Structures & Algorithms Interview Questions You'll Most Likely Be Asked is a perfect companion to stand ahead above the rest in today’s competitive job market. Rather than going through comprehensive, textbook-sized reference guides, this book includes only the information required immediately for job search to build an IT career. This book puts the interviewee in the driver's seat and helps them steer their way to impress the interviewer. The following is included in this book:(a) 200 Data Structures & Algorithms Interview Questions, Answers and proven strategies for getting hired as an IT professional(b) Dozens of examples to respond to interview questions(c) 77 HR Questions with Answers and proven strategies to give specific, impressive, answers that help nail the interviews(d) 2 Aptitude Tests download available on www.vibrantpublishers.com

· 200 Data Structures & Algorithms Interview Questions · 77 HR Interview Questions · Real life scenario based questions· Strategies to respond to interview questions· 2 Aptitude Tests Data Structures & Algorithms Interview Questions You'll Most Likely Be Asked is a perfect companion to stand ahead above the rest in today’s competitive job market. Rather than going through comprehensive, textbook-sized reference guides, this book includes only the information required immediately for job search to build an IT career. This book puts the interviewee in the driver's seat and helps them steer their way to impress the interviewer. The following is included in this book:(a) 200 Data Structures & Algorithms Interview Questions, Answers and proven strategies for getting hired as an IT professional(b) Dozens of examples to respond to interview questions(c) 77 HR Questions with Answers and proven strategies to give specific, impressive, answers that help nail the interviews(d) 2 Aptitude Tests download available on www.vibrantpublishers.com

Book is in Used-VeryGood condition. Pages and cover are clean and intact. Used items may not include supplementary materials such as CDs or access codes. May show signs of minor shelf wear and contain very limited notes and highlighting. 2.25

This practical guide covers all aspects of stage lighting equipment, special effects, lighting a performance space and lighting design. It is well illustrated with examples of equipment, diagrams, plans and technical data. It also features the work of current lighting designers. The associated video content shows the practical use of equipment and different lighting techniques and effects. It provides easy access to the content through the use of tabulated sections and keyword headings. The information in each chapter is presented at three levels which run visually throughout the guide enabling students to mix and match their own personal level of study or for practitioners to fast track through to the information they need on stage.This new and revised second edition brings the guide right up to date, and includes all new material on the development of LED lighting in recent years, as well as online video resources.

How do you make the bestselling computer career guide even better? By adding brand-new data on Year 2000 (Y2K) jobs, plus full updated information on COBOL, Project Manager, AS/400, Quality Control - Testing, Y2K Methodology, C/S Systems, CICS, IDMS, Java, Visual Basic, Delphi, Power Builder, Oracle, MVS, UNIX, RS/6000, Sybase, DB2, and other areas of expertise. Michael Rothstein shows how to ace Y2K interviews (with 300+ specific Q&As)...double and even triple you income as a Y2K or general consultant...and emerge as top dog in any computer interview, thanks to strategy tips and 2000 proven Q&As.

A compiled list of the latest companies hiring home people to work at home right from their home office. These jobs are intended for anyone who has the desire to stay at home and earn money without having to commute to work. The companies are legitimate and include but not limited to customer service, data entry, virtual assistants, chat agents, moderators, content writers, and so many other areas. There is even a section on how you can make money on social media, some payment proofs, examples of work at home scams and how to avoid them and companies that pay at least $10 an hour to work from home. Whether you are a stay at home mom or dad, student, teenager, retired, disabled or just prefer to use your computer to earn extra money, there is something in this book for you.

A compiled list of the latest companies hiring home people to work at home right from their home office. These jobs are intended for anyone who has the desire to stay at home and earn money without having to commute to work. The companies are legitimate and include but not limited to customer service, data entry, virtual assistants, chat agents, moderators, content writers, and so many other areas. There is even a section on how you can make money on social media, some payment proofs, examples of work at home scams and how to avoid them and companies that pay at least $10 an hour to work from home. Whether you are a stay at home mom or dad, student, teenager, retired, disabled or just prefer to use your computer to earn extra money, there is something in this book for you.

In the highly-anticipated second edition of Changing Contours of Work: Jobs and Opportunities in the New Economy, authors Sweet and Meiskins once again provide a rich analysis of the American workplace in the larger context of an integrated global economy. Through engaging vignettes and rich data, this text frames the development of jobs and employment opportunities in an international comparative perspective, revealing the historical transformations of work and identifying the profound effects that these changes have had on lives, jobs, and life chances. This text brings into focus the many complexities of class, race, and gender inequalities in the modern-day workplace, as well as details the consequences of job insecurity and work schedules mismatched to family needs. Throughout, strategic recommendations are offered that could help make the new economy work for us all.

This practical guide covers all aspects of stage lighting equipment, special effects, lighting a performance space and lighting design. It is well illustrated with examples of equipment, diagrams, plans and technical data. It also features the work of current lighting designers. The associated video content shows the practical use of equipment and different lighting techniques and effects. It provides easy access to the content through the use of tabulated sections and keyword headings. The information in each chapter is presented at three levels which run visually throughout the guide enabling students to mix and match their own personal level of study or for practitioners to fast track through to the information they need on stage.This new and revised second edition brings the guide right up to date, and includes all new material on the development of LED lighting in recent years, as well as online video resources.

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In the Third Edition of Changing Contours of Work: Jobs and Opportunities in the New Economy, Stephen Sweet and Peter Meiksins once again provide a rich analysis of the American workplace in the larger context of an integrated global economy. Through engaging vignettes and rich data, this text frames the development of jobs and employment opportunities in an international comparative perspective, revealing the historical transformations of work (the "old economy" and the "new economy") and identifying the profound effects that these changes have had on lives, jobs, and life chances. The text examines the many complexities of race, class, and gender inequalities in the modern-day workplace, and details the consequences of job insecurity and work schedules mismatched to family needs. Throughout the text, strategic recommendations are offered to improve the new economy.

May have some shelf-wear due to normal use. Your purchase funds free job training and education in the greater Seattle area. Thank you for supporting Goodwills nonprofit mission!

Learn data science by doing data science!  Data Science Using Python and R will get you plugged into the world’s two most widespread open-source platforms for data science: Python and R. Data science is hot. Bloomberg called data scientist “the hottest job in America.” Python and R are the top two open-source data science tools in the world. In Data Science Using Python and R, you will learn step-by-step how to produce hands-on solutions to real-world business problems, using state-of-the-art techniques.  Data Science Using Python and R is written for the general reader with no previous analytics or programming experience. An entire chapter is dedicated to learning the basics of Python and R. Then, each chapter presents step-by-step instructions and walkthroughs for solving data science problems using Python and R. Those with analytics experience will appreciate having a one-stop shop for learning how to do data science using Python and R. Topics covered include data preparation, exploratory data analysis, preparing to model the data, decision trees, model evaluation, misclassification costs, naïve Bayes classification, neural networks, clustering, regression modeling, dimension reduction, and association rules mining. Further, exciting new topics such as random forests and general linear models are also included. The book emphasizes data-driven error costs to enhance profitability, which avoids the common pitfalls that may cost a company millions of dollars. Data Science Using Python and R provides exercises at the end of every chapter, totaling over 500 exercises in the book. Readers will therefore have plenty of opportunity to test their newfound data science skills and expertise. In the Hands-on Analysis exercises, readers are challenged to solve interesting business problems using real-world data sets.

A collection of over 650 actual Data Scientist/Machine Learning Engineer job interview questions along with their full answers, references, and useful tips

Survival analysis deals with the distribution of life times, essentially the times from an initiating event such as birth or the start of a job to some terminal event such as death or pension. This book, originally published in 1980, surveys and analyzes methods that use survival measurements and concepts, and helps readers apply the appropriate method for a given situation. Four broad sections cover introductions to data, univariate survival function, multiple-failure data, and advanced topics.

Discover how data science can help you gain in-depth insight into your business – the easy way! Jobs in data science abound, but few people have the data science skills needed to fill these increasingly important roles. Data Science For Dummies is the perfect starting point for IT professionals and students who want a quick primer covering all areas of the expansive data science space. With a focus on business cases, the book explores topics in big data, data science, and data engineering, and how these three areas are combined to produce tremendous value. If you want to pick-up the skills you need to begin a new career or initiate a new project, reading this book will help you understand what technologies, programming languages, and mathematical methods on which to focus. While this book serves as a wildly fantastic guide through the broad aspects of the topic, including the sometimes intimidating field of big data and data science, it is not an instructional manual for hands-on implementation. Here’s what to expect in Data Science for Dummies: Provides a background in big data and data engineering before moving on to data science and how it’s applied to generate value. Includes coverage of big data frameworks and applications like Hadoop, MapReduce, Spark, MPP platforms, and NoSQL. Explains machine learning and many of its algorithms, as well as artificial intelligence and the evolution of the Internet of Things. Details data visualization techniques that can be used to showcase, summarize, and communicate the data insights you generate. It’s a big, big data world out there – let Data Science For Dummies help you get started harnessing its power so you can gain a competitive edge for your organization.