Chapter 10
Statistics, Causation, and Prescriptive Analytics
Keywords: Frequentist, Classical Statistics, Bayesian Statistics, Inference, Significance Testing, Non-parametric, Criminal Trial, Structural Causal Models
Preamble
In the last chapter, we covered big data to little data. We now move to a commonly misunderstood subject, statistics. We will cover various forms and put statistics in context with analytics, data science, machine learning, and AI. A data scientist should be well versed in statistics, as we will see that statistics is the foundation for virtually all forms of analytics. We then follow with bridges between predictive analytics and prescriptive analytics, and one of these bridges is statistics.
This chapter will be a bit ...
