Introduction to Data Processing

Introduction to Data Processing PDF Author: Beryl Robichaud
Publisher: Gregg Division McGraw-Hill
ISBN:
Category : Business & Economics
Languages : en
Pages : 360

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Book Description
Introduces the Nontechnical User to Computers & Programming in BASIC. Supplies Information on Computer-Related Career Opportunities

Introduction to Data Processing

Introduction to Data Processing PDF Author: Beryl Robichaud
Publisher: Gregg Division McGraw-Hill
ISBN:
Category : Business & Economics
Languages : en
Pages : 360

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Book Description
Introduces the Nontechnical User to Computers & Programming in BASIC. Supplies Information on Computer-Related Career Opportunities

Introduction to Computers and Data Processing

Introduction to Computers and Data Processing PDF Author: Gary B. Shelly
Publisher: Brooks/Cole
ISBN:
Category : Computers
Languages : en
Pages : 516

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Introduction to Data Processing

Introduction to Data Processing PDF Author: Robert R. Arnold
Publisher:
ISBN:
Category : Business
Languages : en
Pages : 350

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Introduction to Business Data Processing

Introduction to Business Data Processing PDF Author: Lawrence Orilia
Publisher: McGraw-Hill Companies
ISBN:
Category : Computers
Languages : en
Pages : 776

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Book Description
Introduces Computers & Business Data Processing in a Nontechnical Form. Covers Subjects from Flowcharting & Languages to Computerized Crime & Word Processing

Introduction to Computer Data Processing

Introduction to Computer Data Processing PDF Author: Margaret Schlosser Wu
Publisher: Houghton Mifflin Harcourt P
ISBN:
Category : Computers
Languages : en
Pages : 542

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Introduction to Data Science

Introduction to Data Science PDF Author: Rafael A. Irizarry
Publisher: CRC Press
ISBN: 1000708039
Category : Mathematics
Languages : en
Pages : 794

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Book Description
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.

An Introduction to Information Processing

An Introduction to Information Processing PDF Author: Harvey M. Dietel
Publisher: Academic Press
ISBN: 148321401X
Category : Computers
Languages : en
Pages : 480

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Book Description
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.

Introduction to Data Processing

Introduction to Data Processing PDF Author: Carl Feingold
Publisher: WCB/McGraw-Hill
ISBN:
Category : Computers
Languages : en
Pages : 616

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Introduction to Data Processing

Introduction to Data Processing PDF Author: Martin L. Harris
Publisher: John Wiley & Sons
ISBN:
Category : Computers
Languages : en
Pages : 326

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Introduction to Data Processing

Introduction to Data Processing PDF Author: F. Robert Crawford
Publisher: Englewood Cliffs, N.J : Prentice-Hall
ISBN:
Category : Computers
Languages : en
Pages : 550

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Book Description