Python数据科学基础（True EPUB）

English | 2024 | ISBN: 9781003324997 | 739 pages | True EPUB | 11.45 MB

Foundations of Data Science with Python introduces readers to the fundamentals of data science, including data manipulation and visualization, probability, statistics, and dimensionality reduction. This book is targeted toward engineers and scientists, but it should be readily understandable to anyone who knows basic calculus and the essentials of computer programming. It uses a computational-first approach to data science: the reader will learn how to use Python and the associated data-science libraries to visualize, transform, and model data, as well as how to conduct statistical tests using real data sets. Rather than relying on obscure formulas that only apply to very specific statistical tests, this book teaches readers how to perform statistical tests via resampling; this is a simple and general approach to conducting statistical tests using simulations that draw samples from the data being analyzed. The statistical techniques and tools are explained and demonstrated using a diverse collection of data sets to conduct statistical tests related to contemporary topics, from the effects of socioeconomic factors on the spread of the COVID-19 virus to the impact of state laws on firearms mortality.

This book can be used as an undergraduate textbook for an Introduction to Data Science course or to provide a more contemporary approach in courses like Engineering Statistics. However, it is also intended to be accessible to practicing engineers and scientists who need to gain foundational knowledge of data science.

Key Features

Applies a modern, computational approach to working with data Uses real data sets to conduct statistical tests that address a diverse set of contemporary issues Teaches the fundamentals of some of the most important tools in the Python data-science stack Provides a basic, but rigorous, introduction to Probability and its application to Statistics Offers an accompanying website that provides a unique set of online, interactive tools to help the reader learn the material

英文| 2024 |国际标准图书编号：9781003324997 | 739页|真正的EPUB | 11.45 MB 《Python数据科学基础》向读者介绍了数据科学的基础知识，包括数据操作和可视化、概率、统计和降维。这本书主要面向工程师和科学家，但任何了解基本微积分和计算机编程要领的人都应该很容易理解。它使用计算优先的数据科学方法：读者将学习如何使用Python和相关的数据科学库来可视化、转换和建模数据，以及如何使用真实数据集进行统计测试。这本书教读者如何通过重采样进行统计测试，而不是依赖于只适用于非常具体的统计测试的模糊公式；这是一种简单而通用的方法，使用从被分析数据中提取样本的模拟进行统计测试。统计技术和工具使用不同的数据集进行解释和演示，以进行与当代主题相关的统计测试，从社会经济因素对新冠肺炎病毒传播的影响到州法律对枪支死亡率的影响。 这本书可以用作数据科学导论课程的本科教科书，也可以在工程统计等课程中提供更现代的方法。然而，它也旨在供需要获得数据科学基础知识的执业工程师和科学家使用。 主要特点 采用现代计算方法处理数据使用真实数据集进行统计测试，以解决一系列当代问题教授Python数据科学堆栈中一些最重要工具的基础知识提供概率及其在统计学中的应用的基本但严谨的介绍提供一个附带的网站，提供一套独特的在线交互式工具来帮助读者学习材料

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