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Business Analytics

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Business Analytics
Περιγραφή: Master data analysis, modeling and spreadsheets with Albright/Winston's BUSINESS ANALYTICS: DATA ANALYSIS & DECISION MAKING, 8TH EDITION. This analytical approach delivers a proven teach-by-example approach, student-friendly writing and integration with Excel. The data-oriented new edition covers the two main Power BI tools in Excel, Power Query and Power Pivot, and includes sections on implementing these tools in Power BI Desktop. Current problems and cases demonstrate the importance of the concepts you are learning. MindTap, the online learning platform, provides a wealth of helpful study tools such as interactive eBook, Excel assignments and homework, videos and much more.
Συγγραφείς: S. Christian Albright, Wayne L. Winston
Resource Type: eBook.
Θέματα: Electronic spreadsheets--Computer programs, Decision making--Computer programs, Industrial management--Statistical methods--Computer programs
Categories: BUSINESS & ECONOMICS / General
Βάση Δεδομένων: eBook Index
FullText Text:
  Availability: 0
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DbLabel: eBook Index
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RelevancyScore: 981
AccessLevel: 6
PubType: eBook
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PreciseRelevancyScore: 981.043701171875
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  Data: Master data analysis, modeling and spreadsheets with Albright/Winston's BUSINESS ANALYTICS: DATA ANALYSIS & DECISION MAKING, 8TH EDITION. This analytical approach delivers a proven teach-by-example approach, student-friendly writing and integration with Excel. The data-oriented new edition covers the two main Power BI tools in Excel, Power Query and Power Pivot, and includes sections on implementing these tools in Power BI Desktop. Current problems and cases demonstrate the importance of the concepts you are learning. MindTap, the online learning platform, provides a wealth of helpful study tools such as interactive eBook, Excel assignments and homework, videos and much more.
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        Type: prePub
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Decision making--Computer programs
        Type: general
      – SubjectFull: Industrial management--Statistical methods--Computer programs
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            – D: 01
              M: 01
              Type: published
              Y: 2025
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              M: 04
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              Y: 2025
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