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Introduction
1. Types of business data analytics
2. Workflow, tools
3. Anaconda and Jupyter Notebooks
4. Using_Sklearn
5. Decision Trees and split points
6. Cross Validation
7. Decision Trees in Python
8. Types of Data
9. Population vs Samples
10. Introduction to R
11. Descriptive Statistics in Excel
12. Data Wrangling: A case Study
13. Preprocessing Scaling and Dummies
14. Probabilities
15. Measures of Association
16. What is p hacking?
17. What is a Vector?
18. Distances
19. Matrices
20. Introduction to Simulations
21. Pivot Tables / Cross Tabulation
22. Frequency Distributions and Histograms
Appendix: Handy Excel and R commands
Resources
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Business Analytics Copyright © by Amy Goldlist is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License, except where otherwise noted.