Data analytics for accounting / Vernon J. Richardson, Katie Terrell, Ryan Teeter.

By: Contributor(s): Material type: TextTextPublication details: New York : McGraw Hill, ©2023.Edition: Third edition, International student editionDescription: xxv, 609 pages: Illustrations; 26 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9781265094454
Subject(s): LOC classification:
  • 657.0285 R39d 2023
Contents:
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
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Holdings
Item type Current library Call number Status Barcode
Books Books FEU - Cavite Higher Education HED Library CIR CIR 657.0285 R52d 2013 (Browse shelf(Opens below)) Available HED6508

Includes index

in English

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

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