Python定量社会科学导论

English | 2025 | ISBN: 1032356596 | 356 pages | True PDF EPUB | 13.06 MB

Departing from traditional methodologies of teaching data analysis, this book presents a dual-track learning experience, with both Executive and Technical Tracks, designed to accommodate readers with various learning goals or skill levels. Through integrated content, readers can explore fundamental concepts in data analysis while gaining hands-on experience with Python programming, ensuring a holistic understanding of theory and practical application in Python. Emphasizing the practical relevance of data analysis in today's world, the book equips readers with essential skills for success in the field. By advocating for the use of Python, an open-source and versatile programming language, we break down financial barriers and empower a diverse range of learners to access the tools they need to excel. Whether you're a novice seeking to grasp the foundational concepts of data analysis or a seasoned professional looking to enhance your programming skills, this book offers a comprehensive and accessible guide to mastering the art and science of data analysis in social science research. Key Features: Dual-track learning: Offers both Executive and Technical Tracks, catering to readers with varying levels of conceptual and technical proficiency in data analysis. Includes comprehensive quantitative methodologies for quantitative social science studies. Seamless integration: Interconnects key concepts between tracks, ensuring a smooth transition from theory to practical implementation for a comprehensive learning experience. Emphasis on Python: Focuses on Python programming language, leveraging its accessibility, versatility, and extensive online support to equip readers with valuable data analysis skills applicable across diverse domains.

英语|2025 |ISBN:1032356596|356页|True PDF EPUB | 13.06 MB本书摒弃了传统的教学数据分析方法，提供了一种双轨学习体验，包括行政和技术轨道，旨在为具有不同学习目标或技能水平的读者提供便利。通过综合内容，读者可以探索数据分析中的基本概念，同时获得Python编程的实践经验，确保对Python的理论和实际应用有全面的理解。本书强调了数据分析在当今世界的实际意义，为读者提供了在该领域取得成功的基本技能。通过倡导使用Python，一种开源和通用的编程语言，我们打破了财务障碍，并使各种各样的学习者能够访问他们所需的工具。无论您是寻求掌握数据分析基础概念的新手，还是希望提高编程技能的经验丰富的专业人士，这本书都为掌握社会科学研究中数据分析的艺术和科学提供了全面且易于理解的指南。主要特点：双轨制学习：提供行政和技术两个方向，满足在数据分析方面具有不同概念和技术熟练程度的读者。包括用于定量社会科学研究的全面定量方法。无缝集成：将轨道之间的关键概念相互连接，确保从理论到实际实施的平稳过渡，以获得全面的学习体验。强调Python：专注于Python编程语言，利用其可访问性、多功能性和广泛的在线支持，为读者提供适用于不同领域的宝贵数据分析技能。

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