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ISBN10: 1265454345 | ISBN13: 9781265454340

* The estimated amount of time this product will be on the market is based on a number of factors, including faculty input to instructional design and the prior revision cycle and updates to academic research-which typically results in a revision cycle ranging from every two to four years for this product. Pricing subject to change at any time.
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Introduction to Business Analytics helps students develop the skills to ask the right questions, use tools like Excel®, Tableau®, Power BI®, and now Python® for data analysis, and interpret results to make informed business decisions. The book uses the SOAR analytics model—Specify the question, Obtain the data, Analyze the data, and Report the results—throughout its chapters and labs. These labs, found at the end of each chapter, reinforce the analytical process, and a capstone in the final chapter provides three projects that apply the complete SOAR model. The 2025 Evergreen Release includes significant updates: new Python Labs are now assignable in Connect, new Python and Linear Programming labs have been added, and a Linear Programming supplement is available in the Instructor Resources. Additionally, ten new AI Lab Instructor Resources and AI Lab Assessment Questions have been introduced, along with two new digital assets in Connect: Programming Prep for Python and Excel, and AI Adaptive Learning Modules.
2. Obtain the Data: An Introduction to Business Data Sources
3. Analyze the Data: Basic Statistics and Tools Required in Business Analytics
4. Analyze the Data: Exploratory Business Analytics (Descriptive Analytics and Diagnostic Analytics)
5. Analyze the Data: Confirmatory Business Analytics (Predictive Analytics and Prescriptive Analytics)
6. Report the Results: Using Data Visualization
7. Marketing Analytics
8. Accounting Analytics
9. Financial Analytics
10. Operations Analytics
11. Advanced Business Analytics
12. Using the SOAR Analytics Model to Put It All Together:Three Capstone Projects
Appendix A: Excel Tutorial (Formatting, Sorting, Filtering, and
Using Pivot Tables)
Appendix B: Tableau Tutorial
Appendix C: Power BI Desktop Tutorial
Appendix D: Basic Statistics Tutorial
Appendix E: Installing Excel’s Analysis ToolPak Add-In
Appendix F: Installing Excel’s Solver Add-In
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