Introduction to Business Analytics
Introduction to Business Analytics helps students develop the skills to ask the right questions, use tools for data analysis, and interpret results to make informed business decisions.
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.
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