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    Business Analytics: 2025 Release ISE

    AvSanjiv Jaggia,Alison Kelly

    Häftad, Engelska, 2025

    848 kr

    Beställningsvara. Skickas inom 3-6 vardagar. Fri frakt över 249 kr.

    Beskrivning

    Business Analytics: Communicating with Numbers prepares students for the data-driven demands of today’s business world by equipping them with essential skills in data analysis, visualization, and communication. It offers a comprehensive, hands-on approach to business analytics, covering everything from data wrangling to predictive and prescriptive analytics. Through real-world case studies and experiential learning, students work with Excel, R, and Python to tackle real-life data challenges. The focus on data storytelling ensures students can effectively communicate insights to diverse stakeholders. With expanded coverage of big data, text mining, and data mining, this title readies students for career success in a rapidly evolving field.

    Produktinformation

    • Utgivningsdatum:2025-03-14
    • Vikt:1 383 g
    • Format:Häftad
    • Språk:Engelska
    • Upplaga:3
    • Förlag:McGraw-Hill Education
    • ISBN:9781264901531

    Mer om författaren

    Sanjiv Jaggia is a professor of economics and finance at California Polytechnic State University in San Luis Obispo. Dr. Jaggia holds a Ph.D. from Indiana University and is a Chartered Financial Analyst (CFA®). He enjoys research in statistics and data analytics applied to a wide range of business disciplines. Dr. Jaggia has published numerous papers in leading academic journals and has co-authored three successful textbooks, two in business statistics and one in business analytics. His ability to communicate in the classroom has been acknowledged by several teaching awards. Dr. Jaggia resides in San Luis Obispo with his wife and daughter. In his spare time, he enjoys cooking, hiking, and listening to a wide range of music.  Alison Kelly is a professor of economics at Suffolk University in Boston. Dr. Kelly holds a Ph.D. from Boston College and is a Chartered Financial Analyst (CFA®). Dr. Kelly has published in a wide variety of academic journals and has co-authored three successful textbooks, two in business statistics and one in business analytics. Her courses in applied statistics and econometrics are popular with students as well as working professionals. She has also served as a consultant for a number of companies; her most recent work focused on how large financial institutions satisfy requirements mandated by the Dodd-Frank Act. Dr. Kelly resides in Hamilton, Massachusetts, with her husband, daughter, and son. In her spare time, she enjoys exercising and gardening.  Kevin Lertwachara is a professor of information systems at California Polytechnic State University in San Luis Obispo. Dr. Lertwachara holds a Ph.D. in Operations and Information Management from the University of Connecticut. Dr. Lertwachara’s research focuses on technology-based innovation, electronic commerce, health care informatics, and business analytics and his work has been published in scholarly books and leading academic journals. He teaches business analytics at both the undergraduate and graduate levels and has received several teaching awards. Dr. Lertwachara resides in the central coast of California with his wife and three sons. In his spare time, he coaches his sons’ soccer and futsal teams. Leida Chen is a professor of information systems at California Polytechnic State University in San Luis Obispo. Dr. Chen earned a Ph.D. in Management Information Systems from University of Memphis. His research and consulting interests are in the areas of business analytics, technology diffusion, and global information systems. Dr. Chen has published over 50 research articles in leading information systems journals, over 30 articles and book chapters in national and international conference proceedings and edited books, and a book on mobile application development. He teaches business analytics at both the undergraduate and graduate levels. In his spare time, Dr. Chen enjoys hiking, painting, and traveling with his wife and son to interesting places around the world.

    Innehållsförteckning

    • 1.  Introduction to Business Analytics2.  Data Management and Wrangling 3.  Summary Measures 4.  Data Visualization 5.  Probability and Probability Distributions6.  Statistical Inference7.  Regression Analysis8.  More Topics in Regression Analysis9.  Logistic Regression10. Forecasting with Time Series Data11. Introduction to Data Mining12. Supervised Data Mining: k-Nearest Neighbors and Naïve Bayes13. Supervised Data Mining: Decision Trees14. Unsupervised Data Mining15. Spreadsheet Modeling16. Risk Analysis and Simulation17. Optimization: Linear Programming18. More Applications in OptimizationAPPENDIX A: Big Data Sets: Variable Description and Data DictionaryAPPENDIX B: Getting Started with Excel and Excel Add-InsAPPENDIX C: Getting Started with RAPPENDIX D: Getting Started with PythonAPPENDIX E: Answers to Selected Exercises
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