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Business Analytics

By Jeffrey D. Camm, James J. Cochran, Michael J. Fry, Jeffrey W. Ohlmann

5th Edition © 2024
Discipline:Decision Sciences
Course:Business Statistics & Analytics
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Present the full range of analytics -- from descriptive and predictive to prescriptive analytics -- with Camm/Cochran/Fry/Ohlmann's market-leading BUSINESS ANALYTICS, 5E. Clear, step-by-step instructions teach students how to use Excel, Tableau, R or the Python-based Orange data mining software to solve more advanced analytics concepts. As instructor, you choose your preferred software for teaching concepts. Extensive solutions to problems and cases save grading time while providing students with critical practice. Updates throughout this edition cover topics beyond the traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today's analytical problem solving. In addition, MindTap and WebAssign customizable online learning platforms offer an interactive eBook, auto-graded exercises, algorithmic practice problems and Exploring Analytics visualizations to strengthen students' understanding.

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About this product

Present the full range of analytics -- from descriptive and predictive to prescriptive analytics -- with Camm/Cochran/Fry/Ohlmann's market-leading BUSINESS ANALYTICS, 5E. Clear, step-by-step instructions teach students how to use Excel, Tableau, R or the Python-based Orange data mining software to solve more advanced analytics concepts. As instructor, you choose your preferred software for teaching concepts. Extensive solutions to problems and cases save grading time while providing students with critical practice. Updates throughout this edition cover topics beyond the traditional quantitative concepts, such as data wrangling, data visualization and data mining, which are increasingly important in today's analytical problem solving. In addition, MindTap and WebAssign customizable online learning platforms offer an interactive eBook, auto-graded exercises, algorithmic practice problems and Exploring Analytics visualizations to strengthen students' understanding.

PRACTICAL, RELEVANT PROBLEMS HELP STUDENTS MASTER CONCEPTS AND HANDS-ON SKILLS. Applications drawn from all functional business areas, including finance, marketing and operations, provide important practice at various levels of difficulty. Time-saving data sets are available for most exercises and cases.

ANALYTICS IN ACTION EFFECTIVELY DEMONSTRATE THE IMPORTANCE OF CONCEPTS IN BUSINESS TODAY. Each chapter contains an Analytics in Action feature that presents interesting examples of how professionals use business analytics in actual practice. These timely, engaging examples are drawn from organizations in a variety of areas, including healthcare, finance, manufacturing and marketing.

ONLINE DATA FILES AND MODEL FILES SAVE TIME. All data sets used as examples and used within student exercises are provided online for convenient student download. DATAfiles are files that contain data that corresponds to examples and problems given in the text. MODELfiles contain additional modeling features that highlight the extensive use of Excel formulas or the use of other software such as R and Orange.

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