Business Analytics: 2025 Release ISE
Autor Sanjiv Jaggia, Alison Kelly, Kevin Lertwachara, Leida Chenen Limba Engleză Paperback – 14 mar 2025
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Specificații
ISBN-13: 9781264901531
ISBN-10: 1264901534
Greutate: 1.38 kg
Ediția:3
Editura: McGraw Hill Education
Colecția McGraw-Hill
Locul publicării:United States
ISBN-10: 1264901534
Greutate: 1.38 kg
Ediția:3
Editura: McGraw Hill Education
Colecția McGraw-Hill
Locul publicării:United States
Cuprins
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
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