| 000 | 01913nam a2200349Ia 4500 | ||
|---|---|---|---|
| 005 | 20260803094236.0 | ||
| 008 | 251212s2023 xx 000 0 und d©©© | ||
| 245 | 1 |
_aData analytics for accounting / _cVernon J. Richardson, Katie Terrell, Ryan Teeter. |
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| 100 | _aRichardson, Vernon J. | ||
| 700 | _aTerrell, Katie; Teeter, Ryan | ||
| 260 |
_aNew York : _bMcGraw Hill, _c©2023. |
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| 250 | _aThird edition, International student edition | ||
| 300 |
_axxv, 609 pages: _bIllustrations |
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| 300 | _c26 cm | ||
| 500 | _aIncludes index | ||
| 020 | _a9781265094454 | ||
| 650 | _aAccounting Data processing | ||
| 944 | _aCIR | ||
| 050 | _a657.0285 R39d 2023 | ||
| 943 |
_b0 _c0 _d0 _e1 _f0 _g0 _h0 _i0 _j0 |
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| 944 |
_b1 _c1 _d0 |
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| 953 | _pHED6508 | ||
| 546 | _ain English | ||
| 953 | _cCollege Library | ||
| 505 | _a Chapter 1: Data Analytics for Accounting and Identifying theQuestions Chapter 2: Mastering the Data Chapter 3: Performing the Test Plan and Analyzing theResults Chapter 4: Communicating Results and Visualizations Chapter 5: The Modern Accounting Environment Chapter 6: Audit Data Analytics Chapter 7: Managerial Analytics Chapter 8: Financial Statement Analytics Chapter 9: Tax Analytics Chapter 10: Project Chapter (Basic) Chapter 11: Project Chapter (Advanced): Analyzing Dillard'sData to Predict Sales Returns Appendix A: Basic Statistics Tutorial Appendix B: Excel (Formatting, Sorting, Filtering, andPivotTables) Appendix C: Accessing the Excel Data Analysis Toolpak Appendix D: SQL Part 1 Appendix E: SQL Part 2 Appendix F: Power Query in Excel and Power BI Appendix G: Power BI Desktop Appendix H: Tableau Prep Builder Appendix I: Tableau Desktop Appendix J: Data Dictionaries | ||
| 591 | _a0 | ||
| 336 | _atext | ||
| 337 | _aunmediated | ||
| 338 | _avolume | ||
| 942 |
_2lcc _cBK _ajpascua _b2023-07-29 08:02:07 _djpascua _e2024-06-06 13:27:46 |
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