The core fundamentals of statistics will provide the foundation for data analysis, facilitating how data is described and understood. In this chapter, you have learned the basics of statistics such as attributes and their different types such as nominal, ordinal, and numeric. You have also learned about mean, median, and mode for measuring central tendency. Range, IQR, variance, and standard deviation measures are used to estimate variability in the data; skewness and kurtosis are used for understanding data distribution; covariance and correlation are used to understand the relationship between variables. You have also seen inferential statistics topics such as the central limit theorem, collecting samples, and parametric and non-parametric tests. You have also performed hands-on coding on statistics concepts using the pandas and scipy.stats libraries.
The next chapter, Chapter 4, Linear Algebra, will help us to learn how to solve the linear system of equations, find Eigenvalues...
