智能商务与数据分析综合指南(Python)

Business Intelligence and Data Analytics: A Comprehensive Guide is a bilingual single-volume textbook with the English text preceding its Chinese counterpart in strict parallel (2 2 volumes). The English-first format cultivates both technical mastery and academic English literacy for internationalized curricula while remaining fully accessible to Chinese-speaking readers. 《商业智能与数据分析：综合指南》为英中双语合一出版(2卷)，英文原文列前，中文译文严格对照。英文优先的编排旨在培养专业知识与学术英语能力，服务国际化课程，同时兼顾中文读者的学习需求。 Anchored to the CRISP-DM lifecycle, the thirteen chapters progress from data-driven strategy, probability, statistical inference, and optimization to data cleaning, exploratory analysis, feature engineering, and visualization. Core modeling covers regression, classification, unsupervised learning, time-series forecasting, and deep learning, closing with deployment, interpretability, and MLOps. Every chapter includes Python labs and explicit discussion of algorithmic ethics and bias. 全书十三章以 CRISP-DM 流程为主线，从数据驱动战略、概率论、统计推断与最优化基础，延伸至数据清洗、探索性分析、特征工程与可视化。核心建模涵盖回归、分类、无监督学习、时间序列预测与深度学习，末章收束于模型部署、可解释性与 MLOps。每章配备 Python 实践，并贯穿算法伦理与偏见治理的讨论。 Designed for upper-level undergraduates and graduate students in data science, business analytics, statistics, and computer science, the book also serves industry practitioners seeking a rigorous, end-to-end analytics pipeline. 本书适用于数据科学、商业分析、统计学及计算机科学专业的高年级本科生与研究生，亦可供业界分析师与商业智能工程师参考，为其提供严谨、端到端的现代分析流程训练。