Practical Statistics for Data Scientists
"Practical Statistics for Data Scientists" is a comprehensive guide that caters to data scientists and those seeking to delve deeper into the world of data science from a statistical perspective. The book serves as a quick reference that bridges the gap between formal statistics training and the practical application of statistical methods to data science problems. With a focus on exploratory data analysis, the book is an essential resource for data scientists who want a more detailed understanding of key concepts and techniques. The authors recognize that basic statistics rarely cover the full scope of what data scientists need, and many data science resources do not adequately incorporate statistical methods. In response, they have compiled 50 essential concepts and provided a wealth of examples, code snippets, and practical guidance to help data scientists better understand and apply these statistical concepts. The book covers topics such as random sampling, data distri...