<?xml version="1.0" encoding="UTF-8"?>
<record
    xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
    xsi:schemaLocation="http://www.loc.gov/MARC21/slim http://www.loc.gov/standards/marcxml/schema/MARC21slim.xsd"
    xmlns="http://www.loc.gov/MARC21/slim">

  <leader>01989nam a22002177a 4500</leader>
  <controlfield tag="005">20260610125933.0</controlfield>
  <controlfield tag="008">260610s2022    |||||||| |||| 00| 0 eng d</controlfield>
  <datafield tag="020" ind1=" " ind2=" ">
    <subfield code="a">9781119845256</subfield>
  </datafield>
  <datafield tag="040" ind1=" " ind2=" ">
    <subfield code="c">PK-LaUMT</subfield>
  </datafield>
  <datafield tag="082" ind1=" " ind2=" ">
    <subfield code="a">378.1664</subfield>
    <subfield code="b">CHA-C</subfield>
  </datafield>
  <datafield tag="100" ind1="1" ind2=" ">
    <subfield code="a">Chapple, Mike</subfield>
    <subfield code="9">11547</subfield>
  </datafield>
  <datafield tag="245" ind1="1" ind2="0">
    <subfield code="a">CompTIA data+ study guide :</subfield>
    <subfield code="b">exam DA0-001 /</subfield>
    <subfield code="c">Mike Chapple</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="a">Hokoben :</subfield>
    <subfield code="b">John Wiley &amp; Sons,</subfield>
    <subfield code="c">2022</subfield>
  </datafield>
  <datafield tag="300" ind1=" " ind2=" ">
    <subfield code="a">xxix, 336 p.</subfield>
  </datafield>
  <datafield tag="500" ind1=" " ind2=" ">
    <subfield code="a">Index present</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">Build a solid foundation in data analysis skills and pursue a coveted Data+ certification with this intuitive study guide CompTIA Data+ Study Guide: Exam DA0-001 delivers easily accessible and actionable instruction for achieving data analysis competencies required for the job and on the CompTIA Data+ certification exam. You'll learn to collect, analyze, and report on various types of commonly used data, transforming raw data into usable information for stakeholders and decision makers. With comprehensive coverage of data concepts and environments, data mining, data analysis, visualization, and data governance, quality, and controls, this Study Guide offers: All the information necessary to succeed on the exam for a widely accepted, entry-level credential that unlocks lucrative new data analytics and data science career opportunities 100% coverage of objectives for the NEW CompTIA Data+ exam Access to the Sybex online learning resources, with review questions, full-length practice exam, hundreds of electronic flashcards, and a glossary of key terms Ideal for anyone seeking a new career in data analysis, to improve their current data science skills, or hoping to achieve the coveted CompTIA Data+ certification credential, CompTIA Data+ Study Guide: Exam DA0-001 provides an invaluable head start to beginning or accelerating a career as an in-demand data analyst</subfield>
  </datafield>
  <datafield tag="546" ind1=" " ind2=" ">
    <subfield code="a">Eng</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">Examinations Study guides</subfield>
  </datafield>
  <datafield tag="650" ind1=" " ind2=" ">
    <subfield code="a">Electronic data processing-Examinations</subfield>
    <subfield code="9">12664</subfield>
  </datafield>
  <datafield tag="942" ind1=" " ind2=" ">
    <subfield code="c">BK</subfield>
  </datafield>
  <datafield tag="999" ind1=" " ind2=" ">
    <subfield code="c">141106</subfield>
    <subfield code="d">141106</subfield>
  </datafield>
  <datafield tag="952" ind1=" " ind2=" ">
    <subfield code="0">0</subfield>
    <subfield code="1">0</subfield>
    <subfield code="4">0</subfield>
    <subfield code="7">0</subfield>
    <subfield code="a">01</subfield>
    <subfield code="b">01</subfield>
    <subfield code="d">2026-06-10</subfield>
    <subfield code="l">0</subfield>
    <subfield code="o">378.1664 CHA-C</subfield>
    <subfield code="p">153086</subfield>
    <subfield code="r">2026-06-10 12:59:45</subfield>
    <subfield code="w">2026-06-10</subfield>
    <subfield code="y">BK</subfield>
  </datafield>
</record>
