Introduction to Business Analytics – PDF
The ebook uses the SOAR analytics model―Specify the question, Obtain the data, Analyze the data, and Report the results―throughout its chapters and labs.
Introduction to Business Analytics helps college 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.
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 brings a host of significant updates designed to enhance the learning experience. Among these updates, educators will find that new Python Labs are now assignable within the Connect platform, facilitating better integration of the material into their courses. Additionally, there are exciting new Python and Linear Programming labs that have been introduced, allowing students to explore these vital topics more deeply. For instructors, a useful Linear Programming supplement is now included in the Instructor Resources, providing valuable support for teaching this complex subject. 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.
978-1265454340, 978-1265451813, 978-1265450175, 978-1266189142, 978-1265459390, 978-1265456412, 978-1266496578
NOTE: This sale only consists of the eBook Introduction to Business Analytics in PDF format. No access codes are included.
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