Practical statistics for Data Science specialists. 50 most important concepts

The book is designed for specialists in the field of Data Science, who have some experience with the programming language of R and having a preliminary concept of mathematical statistics. In it, in a convenient and easily accessible form, key concepts from statistics are presented, which relate to the science of data, and also explained which concepts are important and useful from the point of view of the science of data, which are less important and why. The topics are disclosed in detail: exploratory analysis of data, distribution of data and samples, statistical experiments and testing significance, regression and prediction, classification, statistical machine learning and learning without a teacher.
For data analysts