Data Analytics
2nd Edition
9355324553
·
9789355324559
© 2023 | Published: June 5, 2023
OverviewData Analytics continues to be a sought-after discipline. This second edition of the popular textbook retains the concise and conversational style and extends the discussion in the first edition by including additional topics such as Da
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Chapter 1: Wholeness of Data Analytics
Chapter 2: Business Intelligence Concepts and Applications
Chapter 3: Data Warehousing
Chapter 4: Data Mining
Chapter 5: Data Visualization
Chapter 6: Decision Trees
Chapter 7: Regression
Chapter 8: Artificial Neural Networks
Chapter 9: Cluster Analysis
Chapter 10: Association Rule Mining
Chapter 11: Text Mining
Chapter 12: Naïve Bayes Analysis
Chapter 13: Support Vector Machines
Chapter 14: Web Mining
Chapter 15: Social Network Analysis
Chapter 16: Big Data
Chapter 17: Artificial Intelligence Primer
Chapter 18: Data Ownership and Privacy
Chapter 19: Data Science Careers
Chapter 20: Data Wrangling and Dimensionality Reduction
Appendix A: Data Modeling and SQL
Appendix B: Statistical Tutorial
Appendix C: Main Points of the Book – A Summary
Appendix D: Data Analytics Sample Projects
Appendix P: Python Tutorial for Data Mining
Appendix R: R Tutorial for Data Mining
Appendix W: Weka Tutorial for Data Mining
Additional Resources
Index
Chapter 2: Business Intelligence Concepts and Applications
Chapter 3: Data Warehousing
Chapter 4: Data Mining
Chapter 5: Data Visualization
Chapter 6: Decision Trees
Chapter 7: Regression
Chapter 8: Artificial Neural Networks
Chapter 9: Cluster Analysis
Chapter 10: Association Rule Mining
Chapter 11: Text Mining
Chapter 12: Naïve Bayes Analysis
Chapter 13: Support Vector Machines
Chapter 14: Web Mining
Chapter 15: Social Network Analysis
Chapter 16: Big Data
Chapter 17: Artificial Intelligence Primer
Chapter 18: Data Ownership and Privacy
Chapter 19: Data Science Careers
Chapter 20: Data Wrangling and Dimensionality Reduction
Appendix A: Data Modeling and SQL
Appendix B: Statistical Tutorial
Appendix C: Main Points of the Book – A Summary
Appendix D: Data Analytics Sample Projects
Appendix P: Python Tutorial for Data Mining
Appendix R: R Tutorial for Data Mining
Appendix W: Weka Tutorial for Data Mining
Additional Resources
Index
Overview
Data Analytics continues to be a sought-after discipline. This second edition of the popular textbook retains the concise and conversational style and extends the discussion in the first edition by including additional topics such as Da
Data Analytics continues to be a sought-after discipline. This second edition of the popular textbook retains the concise and conversational style and extends the discussion in the first edition by including additional topics such as Da
