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Author : Gary B. Shelly
Publisher : Brooks/Cole
ISBN 13 :
Total Pages : 516 pages
Book Rating : 4.:/5 (319 download)
Download or read book Introduction to Computers and Data Processing written by Gary B. Shelly and published by Brooks/Cole. This book was released on 1980 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Beryl Robichaud
Publisher : Gregg Division McGraw-Hill
ISBN 13 :
Total Pages : 360 pages
Book Rating : 4.3/5 (91 download)
Download or read book Introduction to Data Processing written by Beryl Robichaud and published by Gregg Division McGraw-Hill. This book was released on 1977 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces the Nontechnical User to Computers & Programming in BASIC. Supplies Information on Computer-Related Career Opportunities
Author : Carl Feingold
Publisher : WCB/McGraw-Hill
ISBN 13 :
Total Pages : 758 pages
Book Rating : 4.:/5 (319 download)
Download or read book Introduction to Data Processing written by Carl Feingold and published by WCB/McGraw-Hill. This book was released on 1975 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Robert R. Arnold
Publisher :
ISBN 13 :
Total Pages : 350 pages
Book Rating : 4.3/5 (91 download)
Download or read book Introduction to Data Processing written by Robert R. Arnold and published by . This book was released on 1966 with total page 350 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Susan Wooldridge
Publisher : Elsevier
ISBN 13 : 1483105245
Total Pages : 272 pages
Book Rating : 4.4/5 (831 download)
Download or read book Data Processing written by Susan Wooldridge and published by Elsevier. This book was released on 2013-10-22 with total page 272 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Processing: Made Simple, Second Edition presents discussions of a number of trends and developments in the world of commercial data processing. The book covers the rapid growth of micro- and mini-computers for both home and office use; word processing and the 'automated office'; the advent of distributed data processing; and the continued growth of database-oriented systems. The text also discusses modern digital computers; fundamental computer concepts; information and data processing requirements of commercial organizations; and the historical perspective of the computer industry. The computer hardware and software and the development and implementation of a computer system are considered. The book tackles careers in data processing; the tasks carried out by the data processing department; and the way in which the data processing department fits in with the rest of the organization. The text concludes by examining some of the problems of running a data processing department, and by suggesting some possible solutions. Computer science students will find the book invaluable.
Author : Harvey M. Dietel
Publisher : Academic Press
ISBN 13 : 148321401X
Total Pages : 480 pages
Book Rating : 4.4/5 (832 download)
Download or read book An Introduction to Information Processing written by Harvey M. Dietel and published by Academic Press. This book was released on 2014-06-28 with total page 480 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Information Processing provides an informal introduction to the computer field. This book introduces computer hardware, which is the actual computing equipment. Organized into three parts encompassing 12 chapters, this book begins with an overview of the evolution of personal computing and includes detailed case studies on two of the most essential personal computers for the 1980s, namely, the IBM Personal Computer and Apple's Macintosh. This text then traces the evolution of modern computing systems from the earliest mechanical calculating devices to microchips. Other chapters consider the components and operation of typical data communications systems. This book discusses as well the various types of communications networks and communications via space satellites. The final chapter deals with software or computer programs, the sets of instructions that programmers write to inform the computer how to solve particular problems. This book is a valuable resource for computer specialists, mathematicians, and computer programmers.
Author : Alfonso Zamora Saiz
Publisher : Springer Nature
ISBN 13 : 3030489973
Total Pages : 289 pages
Book Rating : 4.0/5 (34 download)
Download or read book An Introduction to Data Analysis in R written by Alfonso Zamora Saiz and published by Springer Nature. This book was released on 2020-07-27 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate analysis, and feature exercises at the end of each section. The text requires only basic statistics skills, as it strikes a balance between statistical and mathematical understanding and implementation in R, with a special emphasis on reproducible examples and real-world applications. This textbook is primarily intended for undergraduate students of mathematics, statistics, physics, economics, finance and business who are pursuing a career in data analytics. It will be equally valuable for master students of data science and industry professionals who want to conduct data analyses.
Author : Lawrence Orilia
Publisher : McGraw-Hill Companies
ISBN 13 :
Total Pages : 770 pages
Book Rating : 4.3/5 (97 download)
Download or read book Introduction to Business Data Processing written by Lawrence Orilia and published by McGraw-Hill Companies. This book was released on 1982 with total page 770 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduces Computers & Business Data Processing in a Nontechnical Form. Covers Subjects from Flowcharting & Languages to Computerized Crime & Word Processing
Author : Rafael A. Irizarry
Publisher : CRC Press
ISBN 13 : 1000708039
Total Pages : 794 pages
Book Rating : 4.0/5 (7 download)
Download or read book Introduction to Data Science written by Rafael A. Irizarry and published by CRC Press. This book was released on 2019-11-20 with total page 794 pages. Available in PDF, EPUB and Kindle. Book excerpt: Introduction to Data Science: Data Analysis and Prediction Algorithms with R introduces concepts and skills that can help you tackle real-world data analysis challenges. It covers concepts from probability, statistical inference, linear regression, and machine learning. It also helps you develop skills such as R programming, data wrangling, data visualization, predictive algorithm building, file organization with UNIX/Linux shell, version control with Git and GitHub, and reproducible document preparation. This book is a textbook for a first course in data science. No previous knowledge of R is necessary, although some experience with programming may be helpful. The book is divided into six parts: R, data visualization, statistics with R, data wrangling, machine learning, and productivity tools. Each part has several chapters meant to be presented as one lecture. The author uses motivating case studies that realistically mimic a data scientist’s experience. He starts by asking specific questions and answers these through data analysis so concepts are learned as a means to answering the questions. Examples of the case studies included are: US murder rates by state, self-reported student heights, trends in world health and economics, the impact of vaccines on infectious disease rates, the financial crisis of 2007-2008, election forecasting, building a baseball team, image processing of hand-written digits, and movie recommendation systems. The statistical concepts used to answer the case study questions are only briefly introduced, so complementing with a probability and statistics textbook is highly recommended for in-depth understanding of these concepts. If you read and understand the chapters and complete the exercises, you will be prepared to learn the more advanced concepts and skills needed to become an expert.
Author : Raffaele Persico
Publisher : John Wiley & Sons
ISBN 13 : 1118835689
Total Pages : 412 pages
Book Rating : 4.1/5 (188 download)
Download or read book Introduction to Ground Penetrating Radar written by Raffaele Persico and published by John Wiley & Sons. This book was released on 2014-06-09 with total page 412 pages. Available in PDF, EPUB and Kindle. Book excerpt: A real-world guide to practical applications of ground penetrating radar (GPR) The nondestructive nature of ground penetrating radar makes it an important and popular method of subsurface imaging, but it is a highly specialized field, requiring a deep understanding of the underlying science for successful application. Introduction to Ground Penetrating Radar: Inverse Scattering and Data Processing provides experienced professionals with the background they need to ensure precise data collection and analysis. Written to build upon the information presented in more general introductory volumes, the book discusses the fundamental mathematical, physical, and engineering principles upon which GPR is built. Real-world examples and field data provide readers an accurate view of day-to-day GPR use. Topics include: 2D scattering for dielectric and magnetic targets 3D scattering equations and migration algorithms Host medium characterization and diffraction tomography Time and frequency steps in GPR data sampling The Born approximation and the singular value decomposition The six appendices contain the mathematical proofs of all examples discussed throughout the book. Introduction to Ground Penetrating Radar: Inverse Scattering and Data Processing is a comprehensive resource that will prove invaluable in the field.
Author : Tiffany Bergin
Publisher : SAGE
ISBN 13 : 1526452316
Total Pages : 381 pages
Book Rating : 4.5/5 (264 download)
Download or read book An Introduction to Data Analysis written by Tiffany Bergin and published by SAGE. This book was released on 2018-10-15 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: Covering the general process of data analysis to finding, collecting, organizing, and presenting data, this book offers a complete introduction to the fundamentals of data analysis. Using real-world case studies as illustrations, it helps readers understand theories behind and develop techniques for conducting quantitative, qualitative, and mixed methods data analysis. With an easy-to-follow organization and clear, jargon-free language, it helps readers not only become proficient data analysts, but also develop the critical thinking skills necessary to assess analyses presented by others in both academic research and the popular media. It includes advice on: - Data analysis frameworks - Validity and credibility of data - Sampling techniques - Data management - The big data phenomenon - Data visualisation - Effective data communication Whether you are new to data analysis or looking for a quick-reference guide to key principles of the process, this book will help you uncover nuances, complexities, patterns, and relationships among all types of data.
Author : Jeffrey S. Saltz
Publisher : SAGE Publications
ISBN 13 : 1506377548
Total Pages : 289 pages
Book Rating : 4.5/5 (63 download)
Download or read book An Introduction to Data Science written by Jeffrey S. Saltz and published by SAGE Publications. This book was released on 2017-08-25 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Data Science is an easy-to-read data science textbook for those with no prior coding knowledge. It features exercises at the end of each chapter, author-generated tables and visualizations, and R code examples throughout.
Author : João Moreira
Publisher : John Wiley & Sons
ISBN 13 : 1119296250
Total Pages : 352 pages
Book Rating : 4.1/5 (192 download)
Download or read book A General Introduction to Data Analytics written by João Moreira and published by John Wiley & Sons. This book was released on 2018-07-02 with total page 352 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide to the principles and methods of data analysis that does not require knowledge of statistics or programming A General Introduction to Data Analytics is an essential guide to understand and use data analytics. This book is written using easy-to-understand terms and does not require familiarity with statistics or programming. The authors—noted experts in the field—highlight an explanation of the intuition behind the basic data analytics techniques. The text also contains exercises and illustrative examples. Thought to be easily accessible to non-experts, the book provides motivation to the necessity of analyzing data. It explains how to visualize and summarize data, and how to find natural groups and frequent patterns in a dataset. The book also explores predictive tasks, be them classification or regression. Finally, the book discusses popular data analytic applications, like mining the web, information retrieval, social network analysis, working with text, and recommender systems. The learning resources offer: A guide to the reasoning behind data mining techniques A unique illustrative example that extends throughout all the chapters Exercises at the end of each chapter and larger projects at the end of each of the text’s two main parts Together with these learning resources, the book can be used in a 13-week course guide, one chapter per course topic. The book was written in a format that allows the understanding of the main data analytics concepts by non-mathematicians, non-statisticians and non-computer scientists interested in getting an introduction to data science. A General Introduction to Data Analytics is a basic guide to data analytics written in highly accessible terms.
Author : Bas van Gils
Publisher : Van Haren
ISBN 13 : 9401805555
Total Pages : 355 pages
Book Rating : 4.4/5 (18 download)
Download or read book Data Management: a gentle introduction written by Bas van Gils and published by Van Haren. This book was released on 2020-03-03 with total page 355 pages. Available in PDF, EPUB and Kindle. Book excerpt: The overall objective of this book is to show that data management is an exciting and valuable capability that is worth time and effort. More specifically it aims to achieve the following goals: 1. To give a “gentle” introduction to the field of DM by explaining and illustrating its core concepts, based on a mix of theory, practical frameworks such as TOGAF, ArchiMate, and DMBOK, as well as results from real-world assignments. 2. To offer guidance on how to build an effective DM capability in an organization.This is illustrated by various use cases, linked to the previously mentioned theoretical exploration as well as the stories of practitioners in the field. The primary target groups are: busy professionals who “are actively involved with managing data”. The book is also aimed at (Bachelor’s/ Master’s) students with an interest in data management. The book is industry-agnostic and should be applicable in different industries such as government, finance, telecommunications etc. Typical roles for which this book is intended: data governance office/ council, data owners, data stewards, people involved with data governance (data governance board), enterprise architects, data architects, process managers, business analysts and IT analysts. The book is divided into three main parts: theory, practice, and closing remarks. Furthermore, the chapters are as short and to the point as possible and also make a clear distinction between the main text and the examples. If the reader is already familiar with the topic of a chapter, he/she can easily skip it and move on to the next.
Author : Gary B. Shelly
Publisher : Cengage Learning
ISBN 13 : 9781439081310
Total Pages : 40 pages
Book Rating : 4.0/5 (813 download)
Download or read book Introduction to Computers written by Gary B. Shelly and published by Cengage Learning. This book was released on 2010-06-18 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: Get ready to learn about today's digital world with Essential Introduction to Computers. This concise text provides a visually-engaging introduction to the most current information on computers and technology. Students will gain an understanding of the essential computer concepts they need to know to help them be successful in today's computing world. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.
Author : Martin L. Harris
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (14 download)
Download or read book Introduction to Data Processing written by Martin L. Harris and published by . This book was released on 1973 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Hadley Wickham
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491910364
Total Pages : 521 pages
Book Rating : 4.4/5 (919 download)
Download or read book R for Data Science written by Hadley Wickham and published by "O'Reilly Media, Inc.". This book was released on 2016-12-12 with total page 521 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to use R to turn raw data into insight, knowledge, and understanding. 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
