Statistics for data sciencePragmatism statistics that only learn as much as you need for data science Data scientists do not have to know all the classical statistics. This book attempts to apply a variety of statistical techniques to data science and teaches practical ways of distinguishing between important and unimportant. EDA, regression analysis, classification, etc. Today, you can clearly understand the statistical concept that is the basis of techniques used in data analysis and machine learning.