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Introduction to Business Analytics – PDF

SKU: introduction-to-business-analytics-ebook

Original price was: $142.90.Current price is: $22.00.

eBook Details

  • Authors: Vernon J. Richardson,  Marcia Weidemeier Watson
  • File Size: 23 MB
  • Format: PDF
  • Length: 929 Pages
  • Publisher: ‎ McGraw Hill Education; 1st edition
  • Publication Date: ‎ ‎ ‎ January 1, 2023
  • Language: ‎English
  • ISBN-10: 1265454345, 1265451818
  • ISBN-13: 9781265454340, 9781265451813, 9781265450175, 9781266189142, 9781265459390, 9781265456412, 9781266496578
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Description

Dive into the evolving world of data-driven decision-making with Introduction to Business Analytics, designed specifically for college students eager to enhance their analytical skills. Utilizing the SOAR analytics model—which stands for Specify the question, Obtain the data, Analyze the data, and Report the results—this comprehensive ebook guides readers through each critical step in the analytical process.

Students will gain proficiency in asking the right questions and leveraging powerful tools such as Excel®, Tableau®, Power BI®, and now Python® for in-depth data analysis. This equips them with the skills needed to translate complex data into actionable insights that drive informed business decisions.

Each chapter is complemented by hands-on labs that reinforce the analytical concepts discussed, culminating in a capstone project in the final chapter where students can apply the full SOAR model through three immersive projects. The new 2025 Evergreen Release introduces a plethora of updates aimed at enriching the learning experience. Among these enhancements, educators will appreciate the integration of new assignable Python Labs within the Connect platform, which facilitates seamless integration of course material.

In addition, students will have the opportunity to explore important concepts through newly introduced Python and Linear Programming labs, offering deeper insights into these essential areas. To further support instructors, a comprehensive Linear Programming supplement is now accessible in the Instructor Resources, making the teaching of this intricate subject more manageable.

Moreover, this edition boasts the addition of ten new AI Lab Instructor Resources and corresponding AI Lab Assessment Questions designed to challenge students. Two innovative digital assets—Programming Prep for Python and Excel, along with AI Adaptive Learning Modules—have also been introduced in Connect, providing further support for both students and teachers.

Join the revolution in business analytics education with this crucial resource.

ISBNs: 978-1266189142, 978-1265450175, 978-1265454340, 978-1265451813, 978-1265459390, 978-1265456412, 978-1266496578

NOTE: This sale consists solely of the eBook Introduction to Business Analytics in PDF format. No access codes are included.

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