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Business Analytics : Solving Business Problems With R - Arul Mishra
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Business Analytics

Solving Business Problems With R

By: Arul Mishra, Himanshu Mishra

Paperback | 15 March 2024

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Businesses typically encounter problems first and then seek out analytical methods to help in decision making. Business Analytics: Solving Business Problems with R by Arul Mishra and Himanshu Mishra offers practical, data-driven solutions for today's dynamic business environment. This text helps students see the real-world potential of analytical methods to help meet their business challenges by demonstrating the application of crucial methods such as neural nets, natural language processing, and boosted decision trees. Applications of these methods to pricing models, social sentiment analysis, and branding with company experiences like Frito-Lay, Netflix, and Zappos show students how to use the results of research in real business settings. Step-by-step R code with commentary gives readers the tools to adapt each method to their business settings. The book offers comprehensive coverage across diverse business domains, including finance, marketing, human resources, operations, and accounting.

Industry Reviews

A thorough and in-depth overview of data analysis with a focus of practical usage using industry-focused examples and accurate use cases.

-- Brad D. Messner

The book provides a business-specific, applied introduction to business analytics. It incorporates multiple business disciplines and perspectives so that students can understand ways that algorithms can be applied in business practice. The chapters are organized by application so that students can see multiple implementations of data science concepts.

-- Thomas A. Hanson

This is an advanced textbook that provides a practical approach to data analytics, algorithms, and modeling techniques in a business setting.

-- Aeron Zentner

One of the greatest strengths of this book is that it focuses on R through a lens of business problems rather than code. The book provides good explanation about the underlying issues, such as loan charge-off, risk analysis, and more.

-- Yavuz Keceli

A unique approach to Business Analytics with a focus on different application domains from External Environment Analytics to Supply Chain Analytics.

-- Anita Lee-Post

This text would provide for the opportunity to expand the skills of students and offer one a way to broaden the content covered in an advanced undergraduate course or first year graduate course. I think that the coverage of PCA and Text Analysis is particularly good and is becoming more and more mainstream. Thus, these are topics that need to be covered even at the undergraduate level but are difficult to fit into a single course. This text could provide the opportunity deal with that problem.

-- Joel Kincaid

Good data analytics text using R that you can customize for program needs based upon discipline focus.

-- Kevin S. Walker

This book is well-grounded in practical business decision making and includes straightforward discussion and interpretation of statistical output.

-- John L. Sparco

The content of this book is thorough, with each chapter including a case study and R code example.

-- Yue Han

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