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Loose Leaf for Data Analytics for Accounting by Richardson (Loose Leaf)

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Book Title
Loose Leaf for Data Analytics for Accounting
Subject
Production & Operations Management
Narrative Type
N/A
Genre
N/A
Intended Audience
N/A
ISBN
9781264457328
Subject Area
Business & Economics
Publication Name
Loose Leaf for Data Analytics for Accounting
Item Length
10 in
Publisher
Mcgraw-Hill Education
Publication Year
2022
Type
Textbook
Format
Ringbound
Language
English
Item Height
1.2 in
Author
Katie L. Terrell, Ryan A. Teeter, Vernon Richardson
Item Width
8.1 in
Item Weight
34 Oz
Number of Pages
1280 Pages

關於產品

Product Information

Data Analytics is changing the business world--data simply surrounds us, which means all accountants must develop data analytic skills to address the needs of the profession in the future. Data Analytics for Accounting 3e is designed to prepare your students with the necessary tools and skills they need to successfully perform data analytics through a conceptual framework and hands-on practice with real-world data. Using the IMPACT Cycle, the authors provide a conceptual framework to help students think through the steps needed to provide data-driven insights and recommendations. Once students understand the foundation of providing data-driven insights, they are then provided hands-on practice with real-world data sets and various data analysis tools which students will use throughout the rest of their career. The data analysis tools are structured around two tracks--the Microsoft track (Excel, Power Pivot, and Power BI) and a Tableau track (Tableau Prep and Tableau Desktop). Using multiple tools allows students to learn which tool is best suited for the necessary data analysis, data visualization, and communication of the insights gained. Data Analytics for Accounting 3e is a full-course data analytics solution guaranteed to prepare your students for their future careers as accountants.

Product Identifiers

Publisher
Mcgraw-Hill Education
ISBN-10
1264457324
ISBN-13
9781264457328
eBay Product ID (ePID)
20057254677

Product Key Features

Author
Katie L. Terrell, Ryan A. Teeter, Vernon Richardson
Publication Name
Loose Leaf for Data Analytics for Accounting
Format
Ringbound
Language
English
Subject
Production & Operations Management
Publication Year
2022
Type
Textbook
Subject Area
Business & Economics
Number of Pages
1280 Pages

Dimensions

Item Length
10 in
Item Height
1.2 in
Item Width
8.1 in
Item Weight
34 Oz

Additional Product Features

Edition Number
3
Intended Audience
College Audience
Grade from
College Freshman
Grade to
College Graduate Student
Table of Content
Chapter 1: Data Analytics for Accounting and Identifying the Questions Chapter 2: Mastering the Data Chapter 3: Performing the Test Plan and Analyzing the Results 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's Data to Predict Sales Returns Appendix A: Basic Statistics Tutorial Appendix B: Excel (Formatting, Sorting, Filtering, and PivotTables) 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
Copyright Date
2023

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