That's all for this chapter on classical statistical methods. We learned about computing descriptive statistics for data and we learned how to implement classical inference for proportions. We also learned how to implement inference for means. We then explored Bayesian analysis and examined how to apply it to analyze proportions and means. Finally, we learned how to find correlations using pandas and SciPy.
In the next chapter, we will learn about some basic machine learning theory.