BusinessIntelligenceAnalyticsandDataScienceAManagerialPerspectivebyRameshShardaDursunDelenEfraimTurbanz-lib.org.pdf
- Front Cover
- Other MIS Titles of Interest
- Title Page
- Brief Contents
- Preface
- Chapter 1: An Overview of Business Intelligence, Analytics, and Data Science
- 1.1
- 1.2
- 1.3
- 1.4
- 1.5
- 1.6
- 1.7
- 1.8
- 1.9
- 1.10
- Chapter Highlights
- Chapter 2: Descriptive Analytics I: Nature of Data, Statistical Modeling, and Visualization
- 2.1
- 2.2
- 2.3
- 2.4
- 2.5
- 2.6
- 2.7
- 2.8
- 2.9
- 2.10
- 2.11
- Chapter Highlights
- Chapter 3: Descriptive Analytics II: Business Intelligence and Data Warehousing
- 3.1
- 3.2
- 3.3
- 3.4
- 3.5
- 3.6
- 3.7
- 3.8
- 3.9
- 3.10
- 3.11
- 3.12
- Chapter Highlights
- Chapter 4: Predictive Analytics I: Data Mining Process, Methods, and Algorithms
- 4.1
- 4.2
- 4.3
- 4.4
- 4.5
- 4.6
- 4.7
- Chapter Highlights
- Chapter 5: Predictive Analytics II: Text, Web, and Social Media Analytics
- 5.1
- 5.2
- 5.3
- 5.4
- 5.5
- 5.6
- 5.7
- 5.8
- 5.9
- 5.10
- Chapter Highlights
- Chapter 6: Prescription Analytics: Optimization and Simulation
- 6.1
- 6.2
- 6.3
- 6.4
- 6.5
- 6.6
- 6.7
- 6.8
- 6.9
- 6.10
- Chapter Highlights
- Chapter 7: Big Data Concepts and Tools
- 7.1
- 7.2
- 7.3
- 7.4
- 7.5
- 7.6
- 7.7
- 7.8
- Chapter Highlights
- Chapter 8: Future Trends, Privacy and Managerial Considerations in Analytics
- 8.1
- 8.2
- 8.3
- 8.4
- 8.5
- 8.6
- 8.7
- Chapter Highlights
- Glossary
- Index
- Back Cover