This book is an introductory guide to statistics for data science, aimed at professionals and students in the field. It seeks to simplify the often complex mathematical and technical concepts found in existing literature, making them accessible to beginners, especially those whose mathematical foundation might not be strong. The book uses a layered 'onion learning' approach, offering a general overview before delving into more detailed topics. It covers key concepts in descriptive statistics, probability, and statistical inference, with practical examples in Python and R. The authors aim to equip data scientists with essential statistical knowledge for tasks like exploratory data analysis and machine learning, without being exhaustive. The book is written in Portuguese to cater to readers who prefer or find it easier to understand their native language. It assumes a basic understanding of programming logic and familiarity with Python and R. |