"Learning Statistics with Python" is an introductory book on statistics for readers with zero basic knowledge. It uses text, formulas and Python sample code to explain the same knowledge point. It gradually introduces the basic knowledge of statistics and Python, the method of using Python for statistical analysis, statistical models such as normal linear model and generalized linear model, and machine learning. By reading this book, readers can not only gain a deep understanding of statistical terminology, statistical analysis methods, and prediction methods through examples in the book, but also learn cutting-edge machine learning knowledge and how to use Python to implement data visualization and modeling.
"Learning Statistics with Python" has a clear structure, is intuitive and easy to understand, and is suitable for beginners in statistics and Python as well as readers interested in data science and machine learning. It can also be used as an introductory book for students majoring in computer science, statistics, etc. In colleges and universities.
Reader comments
This book is really suitable for beginners like me! It explains statistics and Python in an easy-to-understand way, with clearly structured content and intuitive examples. I especially like this sentence in the book: "The essence of data analysis is to extract information from data." This reminds me of the book "Data Analysis in Practice". They all focus on practical operations and make it easy for people to get started. I think this book is not only an introductory guide to statistics, but also a good teaching material for Python programming. I recommend it to friends who are interested in data science and machine learning!
This book is really suitable for beginners like me! It explains statistics and Python in an easy-to-understand way, with clearly structured content and intuitive examples. I especially like this sentence in the book: "The essence of data analysis is to extract information from data." This reminds me of the book "Data Analysis in Practice". They all focus on practical operations and make it easy for people to get started. I think this book is not only an introductory guide to statistics, but also a good teaching material for Python programming. I recommend it to friends who are interested in data science and machine learning!