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Full Description
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.
Contents
1. Introduction to Business Analytics
2. Data Management and Wrangling
3. Summary Measures
4. Data Visualization
5. Probability and Probability Distributions
6. Statistical Inference
7. Regression Analysis
8. More Topics in Regression Analysis
9. Logistic Regression
10. Forecasting with Time Series Data
11. Introduction to Data Mining
12. Supervised Data Mining: k-Nearest Neighbors and Naïve Bayes
13. Supervised Data Mining: Decision Trees
14. Unsupervised Data Mining
15. Spreadsheet Modeling
16. Risk Analysis and Simulation
17. Optimization: Linear Programming
18. More Applications in Optimization
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: Getting Started with Python
APPENDIX E: Answers to Selected Exercises
