Provides 1-2 semesters of business analytics content that takes a holistic approach to data analytics. Includes a real life case in each chapter, uses big data sets, writing with data and sample reports, and a unique (4 chapters) emphasis on data mining.
Ch 1 Introduction to Business Analytics
Ch 2 Data Management and Wrangling
Ch 3 Data Visualization and Summary Measures
Ch 4 Probability and Probability Distributions
Ch 5 Statistical Inference
Ch 6 Regression Analysis
Ch 7 Advanced Regression Analysis
Ch 8 Introduction to Data Mining
Ch 9 Supervised Data Mining: k-Nearest Neighbors and Naïve Bayes
Ch10 Supervised Data Mining: Decision Trees
Ch11 Unsupervised Data Mining
Ch12 Forecasting with Time Series Data
Ch13 Introduction to Prescriptive Analytics
Appendix A Big Data Sets: Variable Description and Data Dictionary
Appendix B Getting Started with Excel and Excel Add-Ins
Appendix C Getting Started with R
Appendix D Statistical Tables
Appendix E Answers to Selected Exercises
作者：Sanjiv Jaggia
現職：California Polytechnic State University
作者：Alison Kelly
現職：Suffolk University
作者：Kevin Lertwachara
現職：California Polytechnic State University
作者：Leida Chen
現職：California Polytechnic State University