Data Analytics for Accounting: 2025 Release ISE
1265212929
·
9781265212926
Data Analytics for Accounting 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. Once students understan…
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1. Data Analytics for Accounting and Identifying the Questions
2. Mastering the Data?
3. Performing the Test Plan and Analyzing the Results?
4. Communicating Results and Visualizations?
5. The Modern Accounting Environment?
6. Audit Data Analytics?
7. Managerial Analytics?
8. Financial Statement Analytics?
9. Tax Analytics?
10. Project Chapter (Basic)?
11. Project Chapter (Advanced): Analyzing Dillard’s Data to
Predict Sales Returns?
Appendices:
A. Basic Statistics Tutorial?
B. Excel (Formatting, Sorting, Filtering, and PivotTables)?
C. Accessing the Excel Data Analysis Toolpak?
D. SQL Part 1?
E. SQL Part 2?
F. Power Query in Excel and Power BI?
G. Power BI Desktop?
H. Tableau Prep Builder?
I. Tableau Desktop?
J. AlteryxK: Data Dictionaries
2. Mastering the Data?
3. Performing the Test Plan and Analyzing the Results?
4. Communicating Results and Visualizations?
5. The Modern Accounting Environment?
6. Audit Data Analytics?
7. Managerial Analytics?
8. Financial Statement Analytics?
9. Tax Analytics?
10. Project Chapter (Basic)?
11. Project Chapter (Advanced): Analyzing Dillard’s Data to
Predict Sales Returns?
Appendices:
A. Basic Statistics Tutorial?
B. Excel (Formatting, Sorting, Filtering, and PivotTables)?
C. Accessing the Excel Data Analysis Toolpak?
D. SQL Part 1?
E. SQL Part 2?
F. Power Query in Excel and Power BI?
G. Power BI Desktop?
H. Tableau Prep Builder?
I. Tableau Desktop?
J. AlteryxK: Data Dictionaries
Data Analytics for Accounting 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. Once students understand the foundation, they are provided hands-on practice with real-world data sets and various data analysis tools which students will use throughout the rest of their careers. The data analysis tools are structured around three tracks—the Microsoft track (Excel, Power Pivot, and Power BI), the Tableau track (Tableau Prep and Tableau Desktop), and the Alteryx track. Using multiple tools allows students to learn skills in various software to gain technical agility. Data Analytics for Accounting is a full course data analytics solution guaranteed to prepare your students for their future careers as accountants.