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  <titleInfo>
    <title>Advanced business analytics</title>
    <subTitle>: using Jamovi and R</subTitle>
  </titleInfo>
  <name type="personal">
    <namePart>Munmun Ghosh</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
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  <originInfo>
    <place>
      <placeTerm type="text">New Delhi</placeTerm>
    </place>
    <publisher>Cengage</publisher>
    <dateIssued>2025</dateIssued>
    <issuance>monographic</issuance>
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  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <language>
    <languageTerm authority="iso639-2b" type="code">Eng</languageTerm>
  </language>
  <language>
    <languageTerm authority="iso639-2b" type="code">lis</languageTerm>
  </language>
  <language>
    <languageTerm authority="iso639-2b" type="code">h</languageTerm>
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  <physicalDescription>
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    <extent>xv, 247p. PB 24x18cm.</extent>
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  <abstract>Are you ready to dive deeper into the world of numbers and unlock the secrets they hold? Whether you are a student, researcher, or data analyst, this book is your ultimate guide to mastering advanced statistical and analytical concepts in a simple, jargon-free way. Building on the solid foundation of Business Statistics: Using Excel, SPSS, and R, this book takes you one step higher, offering easy-to-follow, step-by-step instructions for all the complex analyses like Structural Equation Modelling (SEM), Mediation and Moderation analysis, PLS-SEM, and many more. No more relying on others for validation; this book empowers you to handle advanced statistics confidently! With a focus on the open-access software JAMOVI and R, you will learn how to use these powerful tools to perform sophisticated analyses without traditional statistical software's steep learning curve. Whether you are a beginner or an experienced user, this book will guide you through practical business cases, helping you translate data into actionable insights. Ready to conquer the numbers? Get your copy now!</abstract>
  <subject>
    <topic>Business Analytics</topic>
  </subject>
  <classification authority="ddc">658.4033 GHOA</classification>
  <identifier type="isbn">9789360539917</identifier>
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