"Python 数据分析是您利用 Python 功能进行强大数据探索和分析的全面指南。无论您是数据爱好者、初出茅庐的数据科学家，还是经验丰富的分析师，本书都能让您掌握提取有意义的见解、有效地可视化数据以及推动明智决策的技能和技巧。
数据分析 Python 入门： 对 Python 的语法和为数据分析量身定制的库进行的初学者友好的探索。
数据整理和清理： 掌握准备和清理数据集的艺术，以便进行准确可靠的分析。
探索性数据分析（EDA）： 使用 Python 深入学习 EDA 技术，揭示数据中隐藏的模式、相关性和异常值。
使用 Python 进行统计分析： 应用统计方法得出可行的见解并做出明智的决策。
数据可视化： 学习使用 Python 库创建引人注目的可视化数据，将数据转换为易于访问且具有影响力的图表和图形。
真实世界的应用： 探索实际案例和案例研究，展示 Python 在各个领域的应用。
PYTHON DATA ANALYTICS Harnessing the Power of Python for Data Exploration, Analysis, and Visualization (2024) – EPUB, PDF
English | January 28, 2024 | January 28, 2024 | 166 pages| Epub PDF | 8 MB
"Python Data Analytics" is your comprehensive guide to leveraging the capabilities of Python for robust data exploration and analysis. Whether you're a data enthusiast, a budding data scientist, or a seasoned analyst, this book equips you with the skills and techniques to extract meaningful insights, visualize data effectively, and drive informed decision-making.
Introduction to Python for Data Analysis: A beginner-friendly exploration of Python's syntax and libraries tailored for data analytics.
Data Wrangling and Cleaning: Master the art of preparing and cleaning datasets for accurate and reliable analysis.
Exploratory Data Analysis (EDA): Dive into EDA techniques using Python, uncovering hidden patterns, correlations, and outliers in your data.
Statistical Analysis with Python: Apply statistical methods to derive actionable insights and make informed decisions.
Data Visualization: Learn to create compelling visualizations with Python libraries, transforming data into accessible and impactful charts and graphs.
Real-world Applications: Explore practical examples and case studies, demonstrating the application of Python in various domains.
