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Introduction
Jeremiah Green
1. Chapter 1: Data analysis: purposes and applications
2. Chapter 2: Accounting Data
3. Chapter 3: Data Analysis Applications in Accounting
4. Chapter 4: General Purpose Software - R Basics
5. Chapter 5: Importing and Standardizing Data
6. Chapter 6: Data Manipulation
7. Chapter 7: Merging Data Sets
8. Chapter 8: Visualizing Data
9. Chapter 9: Understanding Data with Statistics
10. Chapter 10: Organizing Data for Specific Purposes
11. Chapter 11: Introduction to Modeling
12. Chapter 12: Introduction to Prediction
13. Chapter 13: AutoML with Categorical Dependent Variables
14. Chapter 14: AutoML with Continous Dependent Variables
15. Chapter 15: Unsupervised Models I
16. Chapter 16: Unsupervised models II
17. Chapter 17: Supervised Models I
18. Chapter 18: Supervised Models II
19. Chapter 19: Supervised Models III
20. Chapter 20: LLM Basics
21. Chapter 21: LLM Applications
22. Chapter 22: Automation (RPA) and AI Agents
23. Chapter 23: Storytelling and persuasion
Appendix
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Data Analytics with Accounting Data and R Copyright © by Jeremiah Green. All Rights Reserved.
